principal data architect

Abbott

<div>Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 115,000 colleagues serve people in more than 160 countries.
The Opportunity
Abbott is seeking a highly skilled and strategic Lead Data &amp; Solutions Architect to support the development, management, and modernization of the enterprise data ecosystem that powers our next-generation business capabilities. This role will lead the design and implementation of scalable cloud-based data platforms, architecture standards, governance frameworks, and data products that enable enterprise-wide AI, analytics, and data-driven decision making.
The ideal candidate combines deep technical expertise in Databricks, AWS, Azure, modern data architectures, and data engineering practices with strong business acumen and leadership capabilities. Healthcare and EMR/EHR experience is highly desirable as Abbott continues to expand the use of clinical, operational, and commercial data assets to accelerate innovation and business outcomes.
What You'll Work On<ul><li>
Define and maintain enterprise-wide data architecture standards, principles, roadmaps, and governance frameworks.</li><li>
Lead the design and implementation of scalable cloud-native data platforms leveraging Databricks, AWS, Azure, and related technologies.</li><li>
Architect and oversee batch, streaming, and real-time data pipelines supporting analytics, AI, machine learning, and operational use cases.</li><li>
Partner with business, product, analytics, AI, and engineering teams to translate strategic objectives into scalable data solutions.</li><li>
Design and optimize Lakehouse architectures, enterprise data lakes, data warehouses, and data integration frameworks.</li><li>
Enable self-service data and analytics capabilities that improve accessibility, trust, and usability of enterprise data assets.</li><li>
Support enterprise AI initiatives by ensuring high-quality, governed, and scalable data foundations.</li><li>
Establish best practices for data modeling, metadata management, data lineage, master data management, and data quality.</li><li>
Drive automation of data workflows, orchestration processes, monitoring, and operational support to enable near real-time data access.</li><li>
Ensure data security, privacy, compliance, and governance across all platforms and data domains.</li></ul><ul><li>
Collaborate with cybersecurity, legal, and compliance teams to implement appropriate controls for sensitive and regulated data.</li><li>
Guide cloud strategy across AWS and Azure environments, ensuring scalability, reliability, cost optimization, and operational excellence.</li><li>
Mentor and provide technical leadership to data engineers, architects, and cross-functional technology teams.</li><li>
Conduct architecture reviews and technology assessments, identifying opportunities for modernization and innovation.</li><li>
Evaluate emerging technologies and industry trends to advance Abbott&rsquo;s data, analytics, and AI capabilities.</li><li>
Support enterprise initiatives involving healthcare, EMR/EHR, clinical, operational, and commercial data when applicable.</li></ul>
Required Qualifications<ul><li>
Bachelor's degree in computer science, Information Systems, Engineering, Data Science, or a related technical discipline.</li><li>
8+ years of experience in data architecture, solution architecture, data engineering, or related enterprise technology roles.</li><li>
5+ years of experience designing and implementing enterprise-scale cloud data platforms.</li><li>
Deep hands-on experience with Databricks, including:<ul><li>
Delta Lake</li><li>
Unity Catalog</li><li>
Databricks Workflows</li><li>
Databricks SQL</li><li>
Spark and PySpark</li><li>
Lakehouse Architecture</li></ul></li></ul><ul><li>
Strong expertise with AWS services such as S3, Glue, IAM, Redshift, Lambda, Kinesis, and Lake Formation.</li><li>
Strong expertise with Microsoft Azure services such as Azure Data Lake Storage (ADLS), Azure Data Factory, Synapse, Azure Key Vault, and Microsoft Purview.</li><li>
Extensive experience designing and implementing ETL/ELT frameworks, data pipelines, and cloud-native integration solutions.</li><li>
Strong understanding of data architecture patterns, distributed systems, data modeling, and enterprise integration concepts.</li><li>
Experience implementing data governance, security, compliance, encryption, access controls, monitoring, and auditing frameworks.</li><li>
Strong proficiency in SQL and Python.</li><li>
Proven ability to develop architecture standards and influence enterprise technology direction.</li><li>
Excellent communication, stakeholder management, and executive presentation skills.</li><li>
Demonstrated ability to lead complex cross-functional initiatives and technical teams.</li></ul>
Preferred Qualifications<ul><li>
Experience within healthcare, medical device, pharmaceutical, payer, provider, or healthcare technology organizations.</li><li>
Experience working with EMR/EHR platforms and healthcare data standards, including FHIR and HL7.</li><li>
Familiarity with clinical, claims, patient, provider, and operational healthcare datasets.</li><li>
Experience architecting solutions that support AI, machine learning, GenAI, and advanced analytics initiatives.</li><li>
Experience with streaming technologies such as Kafka, Spark Structured Streaming, or equivalent platforms.</li><li>
Experience implementing self-service analytics and data product strategies.</li><li>
Knowledge of MLOps, AI governance, and modern AI platform architectures.</li><li>
AWS Certified Solutions Architect, Microsoft Azure Solutions Architect Expert, Databricks Certified Professional, or comparable certifications.</li><li>
Experience operating within regulated environments and supporting compliance requirements including HIPAA and other data privacy regulations.</li><li>
Experience working in a global, matrixed organization.</li></ul>
Apply Now
Learn more about our health and wellness benefits, which provide the security to help you and your family live full lives: www.abbottbenefits.com
Follow your career aspirations to Abbott for diverse opportunities with a company that can help you build your future and live your best life. Abbott is an Equal Opportunity Employer, committed to employee diversity.
Connect with us at www.abbott.com, on Facebook at www.facebook.com/Abbott, and on Twitter @AbbottNews.
Note: The responsibilities and qualifications above incorporate current enterprise data architecture expectations commonly seen in Databricks, cloud architecture, and AI-enablement leadership roles, including expertise in cloud data platforms, governance, security, architecture standards, self-service analytics, and enterprise AI strategy.
Working at Abbott
At Abbott, you can do work that matters, grow, and learn, care for yourself and your family, be your true self, and live a full life. You&rsquo;ll also have access to:<ul><li>
Career development with an international company where you can grow the career you dream of.</li><li>
Employees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical plan in the next calendar year.</li><li>
An excellent retirement savings plan with a high employer contribution.</li><li>
Tuition reimbursement, the Freedom 2 Save student debt program, and FreeU education benefit - an affordable and convenient path to getting a bachelor&rsquo;s degree.</li><li>
A company recognized as a great place to work in dozens of countries worldwide and named one of the most admired companies in the world by Fortune.</li><li>
A company that is recognized as one of the best big companies to work for as well as the best place to work for diversity, working mothers, female executives, and scientists.</li></ul> 
The base pay for this position is $114,000.00 &ndash; $228,000.00. In specific locations, the pay range may vary from the range posted.</div>

Principal Data Architect

Children's Health

<div><div>Department: Advanced Analytics
Location: Dallas, TX
Shift: 8:00 am to 5:00 pm
Job Type: Remote
Why Children's Health?
At Children's Health, our mission is to Make Life Better for Children, and we recognize that their health plays a crucial role in achieving this goal.
Through our cutting-edge treatments and affiliation with UT Southwestern, we strive to deliver an extraordinary patient and family experience, ensuring that every moment, big or small, contributes to their overall well-being.
Our dedication to promoting children's health extends beyond our organization and encompasses the broader community. Together, we can make a significant difference in the lives of children and contribute to a brighter and healthier future for all.
Summary:
 
The Principal Cloud Solution Data Architect designs, develops, and implements scalable, secure, and high performance data solutions, integrating source systems, data stores, interfaces, and cloud infrastructure. This role involves analyzing business requirements, creating system-level data architectures, and leveraging cloud-native technologies to optimize performance, scalability, and maintainability. The architect ensures seamless integration of enterprise-wide data while designing solutions that align with cloud best practices, including containerization, microservices, and serverless architectures. As a technical leader, the architect collaborates with cross-functional teams enterprise-wide, troubleshoots reporting, products, and data issues, and guides development teams in full-stack and cloud-native development best practices. They research emerging technologies, create reusable frameworks, document technical designs, and ensure data systems are designed for efficient deployment and management in cloud environments. This role is critical and has ultimate oversight in delivering innovative, cloud-optimized data and artificial intelligence (AI) products aligned with business goals.
Responsibilities:
 
Technical Leadership: 
 
<ul><li>Define and deliver high-level cloud medallion data architecture that empowers enterprise-wide analytics and AI solutions to address business objectives and balance scalability, performance, and security</li>
<li>Mentor and advise data professionals (engineers and analysts) within Enterprise Data Analytics, Information Services, and operational analytics teams, championing best practices in healthcare cloud data architecture, data and AI product development, standard operating procedures (SOPs), DevOps, and SDLC throughout the organization and enabling growth across teams</li>
<li>Translate architectural designs into actionable tasks for development teams</li>
<li>Evaluate, select, and implement emerging technologies (e.g., data mesh, GenAI data stack, lakehouse evolution) that meet the unique demands of Children&rsquo;s Health, with foresight for future scalability and interoperability</li>
</ul>Collaboration and Communication:
 
<ul><li>Work with stakeholders, including product owners, business analysts, and project managers, to ensure technical solutions meet business and user needs.</li>
<li>Coordinate with cross-functional teams to ensure successful integration of data and components</li>
</ul>System Design and Development:
 
<ul><li>Lead the design and integration data from source applications (e.g. electronic health records, enterprise resource planning, and other health information systems), leveraging API, ELT (extract, load, and transform), and cloud-based infrastructure</li>
<li>Make architecture decisions that align with long-term organizational goals and industry best practices, using systems performance and process modeling to establish a robust foundation</li>
<li>Leverage expertise in software engineering practices, back-end technologies, databases, data development/engineering, and artificial intelligence/machine learning engineering to build robust solutions</li>
<li>Ensure solutions align with industry best practices for user experience, security, integrity, patient privacy, regulatory compliance, and quality</li>
</ul>Project Management:
 
<ul><li>Develop and communicate project estimates and work plans, ensuring tasks and deliverables adhere to schedules and budgets</li>
<li>Manage cross-functional teams and align project execution with organizational objectives</li>
<li>Align project goals with agile methodologies such as Scrum and Kanban</li>
<li>Communicate progress to stakeholders and adjust plans to meet evolving requirements</li>
</ul>Documentation and Technical References:
 
<ul><li>Produce and maintain detailed documentation of design components, including technical designs, program specifications, and interim components</li>
<li>Produce and maintain comprehensive documentation of data architecture frameworks, policies, and procedures for transparency and accountability</li>
<li>Prepare operational manuals, technical references, security policies, and user training materials to support system deployment and maintenance</li>
</ul>System Monitoring and Maintenance:
 
<ul><li>Oversee data, analytics, and AI operating environments across production, UAT, QA, and development systems or bronze, silver, and gold layers of cloud platform.</li>
<li>Perform regular system upgrades, patches, and performance-tuning enhancements to ensure optimal functionality and reliability</li>
<li>Monitor the performance of solutions within the cloud data platform and strategize optimization measures to consistently improve system or query performance, decrease processing time, reduce costs, and enhance overall productivity</li>
</ul>Collaboration and Communication:
 
<ul><li>Collaborate with business and clinical stakeholders, directors, managers, analytics and data science teams, and informatics specialists to communicate data and AI architectural concepts and technical strategies</li>
<li>Build and maintain strong relationships with stakeholders by providing technical guidance and addressing concerns effectively</li>
<li>Lead the enterprise data architecture and innovation roadmap, aligned with Children&rsquo;s Health&rsquo;s business and technology strategy</li>
<li>Guide engineering, product, security, and compliance leaders to ensure data platform supports real-time analytics, ML/AI, and regulatory needs</li> 
</ul> 
How You&rsquo;ll Be Successful:
WORK EXPERIENCE 
 
<ul><li>At least 10 years hands-on experience in data extraction, data architecture, data administration, data modeling, data management, BI, with heavy focus on data warehousing and ELT technologies</li>
</ul> 
EDUCATION
 
<ul><li>Four-year Bachelor's degree or equivalent experience required</li>
<li>Graduate or professional work or advanced degree; or equivalent experience preferred</li>
</ul> 
LICENSES AND CERTIFICATIONS
 
<ul><li>Data architecture certification (e.g. SnowPro, Advanced Architect, Microsoft Azure Data Architect, AWS, Certified Solutions Architect, Google Professional Data Engineer, or healthcare IT certifications) required within 180 Days of hire</li>
<li>Denodo preferred</li> 
</ul> 
A Place Where You Belong 
 
We put our people first. We welcome, value, and respect the beliefs, identities and experiences of our patients and colleagues. We are committed to delivering culturally effective care, creating meaningful partnerships in the communities we serve, and equipping and developing our team members to make Children&rsquo;s Health a place where everyone can contribute. 
 
Holistic Benefits &ndash; How We&rsquo;ll Care for You:
<ul><li>Employee portion of medical plan premiums are covered after 3 years.</li></ul>
<ul><li>4%-10% employee savings plan match based on tenure</li></ul>
<ul><li>Paid Parental Leave (up to 12 weeks)</li></ul>
<ul><li>Caregiver Leave</li></ul>
<ul><li>Adoption and surrogacy reimbursement</li></ul>
As an equal opportunity employer, Children's Health does not discriminate against employees or applicants because of race, color, religion, sex, gender identity and expression, sexual orientation, age, national origin, veteran or military status, disability, or genetic information or any other Federal or State legally-protected status or class. This applies to all aspects of the employer-employee relationship including but not limited to recruitment, hiring, promotion, transfer pay, training, discipline, workforce adjustments, termination, employee benefits, and any other employment-related activity.</div></div><div></div>

Principal Cloud Data Architect (Microsoft Fabric and Azure)

PK Companies

<div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><h1 class="jobSectionHeader">Principal Architect (AI &amp; SaaS Platform Architecture)</h1>
Location: The Woodlands Texas
Reports To: President of intelliSPEC
Schedule: Monday &ndash; Friday, 8 am &ndash; 5 pm, hybrid &ndash; Monday - Wednesday in office, Thursday &amp; Friday optional work from home; 40 hours weekly
Travel: Minimal &ndash; 5%<h2 class="jobSectionHeader">
About the Role</h2>
As Principal Architect, you will define and govern the end-to-end technical architecture for IntelliSPEC&rsquo;s AI-enabled, multi-tenant SaaS platform. This role owns architectural vision and technical standards across application, data, AI, cloud, and edge layers, with explicit responsibility for modern web and SaaS application architecture.
You will operate at the intersection of AI strategy, SaaS platform engineering, and enterprise architecture, ensuring IntelliSPEC&rsquo;s MERN-based applications are scalable, secure, resilient, and fit for safety-critical industrial environments. This role combines deep hands-on technical authority with strategic architectural governance.<h2 class="jobSectionHeader">
The Team</h2>
You will be a senior member of IntelliSPEC&rsquo;s Product and Technology leadership team, working closely with the President, Product Management, Engineering, DevSecOps, and SDET leaders. The Chief Architect sets architectural guardrails while enabling autonomous execution across frontend, backend, data, and AI teams.<h2 class="jobSectionHeader">
What We&rsquo;re Looking For &ndash; Required</h2><div><ul><li>
12+ years of experience in software architecture, platform engineering, or senior technical leadership roles</li><li>
Proven experience architecting large-scale SaaS applications using modern web stacks</li><li>
Strong hands-on expertise with MERN-stack technologies, including React, Node.js, and MongoDB</li><li>
Deep experience designing API-first and microservices-based SaaS platforms</li><li>
Strong understanding of frontend architecture patterns, state management, and performance optimization for React applications</li><li>
Hands-on experience with MongoDB data modeling, indexing strategies, and scalable data access patterns</li><li>
Experience integrating AI/ML capabilities into SaaS platforms, including data pipelines and inference workflows</li><li>
Hands-on experience with cloud-native platforms (Azure preferred), containerization, and Kubernetes</li><li>
Ability to define architectural standards, reference implementations, and technology roadmaps</li><li>
Exceptional communication skills with the ability to influence executives, architects, and senior engineers</li></ul></div><h2 class="jobSectionHeader">
What We&rsquo;re Looking For &ndash; Preferred</h2><div><ul><li>
Experience designing multi-tenant SaaS platforms with strong tenant isolation and scalability guarantees</li><li>
Experience with Next.js or similar React-based frameworks for enterprise SaaS</li><li>
Experience with RAG, LLM-based systems, or AI-powered application features</li><li>
Experience with edge computing, offline-first, or mobile-first architectures</li><li>
Experience with security architecture, identity platforms, and zero-trust design</li><li>
Background in industrial, energy, manufacturing, or regulated enterprise environments</li></ul></div><h2 class="jobSectionHeader">
Key Responsibilities</h2><div><ul><li>
Define and own IntelliSPEC&rsquo;s end-to-end SaaS architecture across frontend, backend, data, AI, and cloud layers</li><li>
Establish architectural standards for React-based web applications and Node.js backend services</li><li>
Own MongoDB data architecture including schema design, performance optimization, and lifecycle management</li><li>
Ensure AI capabilities are architected responsibly and integrated cleanly into SaaS workflows</li><li>
Partner with Product and Engineering leaders to translate platform vision into executable roadmaps</li><li>
Review and approve major architectural decisions, designs, and technology selections</li><li>
Ensure platform scalability, availability, security, and performance meet enterprise SaaS expectations</li><li>
Collaborate with DevSecOps to align architecture with CI/CD, security, compliance, and operational readiness</li><li>
Mentor architects and senior engineers, raising the technical bar across the organization</li></ul></div><h2 class="jobSectionHeader">
About IntelliSPEC</h2>
IntelliSPEC is transforming industrial operations with a unified, intelligent platform built for safety, reliability, and efficiency. Our solutions empower inspection teams and plant operators to work anywhere, even in low-connectivity environments, with secure, resilient, and intuitive tools.<h2 class="jobSectionHeader">
Perks/Benefits</h2>
Competitive Pay depending on experience, Paid time off and Holidays, Health, Dental, and Vision Benefits, Flexible Spending Account (FSA), Health Savings Account (HSA), Company Match 401(k), Company Paid Life Insurance, Company Paid Short- and Long-Term Disability, Company Paid Employee Assistance Program (EAP) 
PK Companies Group, LLC is an equal opportunity employer, and we welcome candidates from all backgrounds to apply. 
All hiring decisions are based on the qualifications of each candidate compared to other candidates and business needs. 
We thank all applicants for their interest in our company, but only those selected for an interview will be contacted. 
This employer participates in E-Verify and will provide the federal government with your form I-9 information to confirm that you are authorized to work in the US. Employers can only use E-Verify once you have accepted a job offer and completed the form I-9.</div></div></div></div></div></div></div></div></div></div></div></div></div></div> 

8 am - 5 pm, Monday - Friday, Hybrid - Monday, Tuesday and Wednesday in office, Thursday and Friday option to work from home.</div>

Principal Architect (AI & SaaS Platform Architecture)

Cambridge Mobile Telematics

<div>We're hiring a Principal Security Architect I, Product &amp; Application to own the security architecture of CMT's products. In this highly autonomous individual contributor role, you'll set the technical direction for product security and partner with engineering teams to design and deliver secure solutions.

You'll remain hands-on with architecture while driving security strategy through technical leadership, influence, and sound engineering judgment rather than people management.

You'll also define the security standards and guardrails for AI-powered products and AI development tools, enabling innovation while reducing security risk.

CMT is looking for a Principal Security Architect I, Product &amp; Application to help us change the world. CMT has helped protect over 65 million drivers and prevent over 126,000 crashes worldwide. We build AI to solve some of the most difficult challenges in mobility &mdash; understanding and reducing risk, detecting crashes, and getting people life-saving help. The problems are hard. The impact is real. No matter your role, your work will matter at CMT.

Responsibilities:
<ul>
<li>Own the end-to-end security architecture for CMT's products, including mobile SDKs, backend services, APIs, data pipelines, and partner integrations</li>
<li>Define security standards, reference architectures, and engineering guardrails, and drive adoption across the organization</li>
<li>Partner with product and engineering leaders to embed security throughout the SDLC</li>
<li>Lead threat modeling and define application security strategy, including testing, secure coding, secrets management, and software supply chain security</li>
<li>Own security architecture for protecting sensitive data and supporting privacy and regulatory requirements</li>
<li>Define security architecture and guardrails for AI-powered products and AI development tools</li>
<li>Own the Product Security roadmap, including technology strategy, prioritization, and risk-based decision making</li>
<li>Serve as the senior security authority for architecture reviews, technical guidance, and customer security engagements</li>
<li>Mentor engineers and champion secure design practices across the organization</li>
<li>Complete any additional tasks as they arise</li>
</ul>
Qualifications:
<ul>
<li>Bachelor's degree or equivalent years of experience and/or certification in a related field</li>
<li>7+ years of experience in security with deep expertise in application and product security architecture</li>
<li>Proven ability to set technical direction and drive security initiatives through influence in a highly autonomous role</li>
<li>Strong software engineering foundation with experience reviewing code and system architecture across web services, APIs, and mobile platforms</li>
<li>Deep knowledge of secure SDLC, threat modeling, OWASP, authentication, cryptography, API security, and mobile security</li>
<li>Experience securing products that process sensitive personal data while supporting privacy and regulatory requirements</li>
<li>Working knowledge of AI/ML and LLM security, including the secure adoption of AI development tools</li>
<li>Excellent written and verbal communication skills</li></ul> 
 
Nice to Haves:
<ul>
<li>Experience with mobile SDK security, reverse engineering, and anti-tampering</li>
<li>Familiarity with data-intensive architectures and ML-driven products</li>
<li>Experience developing AI governance or secure AI adoption programs</li>
<li>Experience in telematics, IoT, connected vehicles, fintech, or other high-trust industries</li>
<li>Relevant certifications such as CSSLP, OSCP, or GWEB</li> 
</ul>
Compensation and Benefits:
<ul>
<li>Fair and competitive salary based on skills and experience, and annual performance bonus</li>
<li>Equity may be awarded in the form of Restricted Stock Units (RSUs)</li>
<li>Medical, Dental, Vision and Life Insurance, matching 401k, short-term &amp; long-term disability and parental leave</li>
<li>Unlimited Paid Time Off including vacation, sick days &amp; public holidays</li>
<li>Flexible scheduling and work from home policy depending on role and responsibilities</li>
</ul>
Base Salary Range
<ul>
<li>The base salary range for this position is: $130,600 to $163,300. This range is specifically for Cambridge, MA</li>
</ul>
Additional Perks:
<ul>
<li>Work on a mission with real impact: crashes prevented, injuries avoided, lives protected around the world</li>
<li>Join an industry leader &mdash; 65 million drivers protected, powering 140+ programs across 25 countries</li>
<li>Recognized innovator in mobility AI, earning top honors including the TIME Industry Leader in AI, a Gold Edison Award, and the Artificial Intelligence Excellence Award for AI for Social Good. CMT is also Great Place to Work Certified</li>
<li>Be part of the team inventing the future of mobility and road safety</li>
<li>Move fast, own outcomes, do work that matters</li>
<li>High ownership, small teams, and direct access to leadership &mdash; no layers between your work and its impact</li>
<li>Unlimited PTO, flexible scheduling, competitive salary, annual performance bonus, RSUs, and full benefits including medical, dental, vision, and 401k match</li>
<li>Summer Fridays provide team members with half days to recharge</li>
<li>Join one of our employee resource groups: Black, AAPI, LGBTQIA+, Women, Book Club, and Health &amp; Wellness</li>
<li>Comprehensive wellness, education, and employee assistance programs</li>
</ul>
Commitment to Diversity and Inclusion:

At CMT, we believe the best ideas come from a mix of backgrounds and perspectives.

We are an equal-opportunity employer committed to creating a workplace and culture where everyone feels valued, respected, and empowered to bring their unique talents and perspectives. Diversity is essential to our success, and we actively seek candidates from all backgrounds to join our growing team.

We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability state. CMT is headquartered in Cambridge, MA. To learn more, visit www.cmtelematics.com and follow us on Instagram @cmt.ai

About Cambridge Mobile Telematics:

Cambridge Mobile Telematics (CMT) is the world's largest telematics and AI company for safer mobility. Its mission is to make the world's roads and drivers safer. The company's AI-driven platform, DriveWell Fusion&reg;, proactively identifies and reduces driving risk, leading to fewer crashes and injuries. To date, CMT's technology has helped prevent over 126,000 crashes worldwide. CMT enables partners to measure risk, detect crashes, provide life-saving assistance, and streamline claims. Headquartered in Cambridge, MA, CMT operates globally with offices in Budapest, Hungary; Chennai, India; Seattle, Washington; Tokyo, Japan; and Zagreb, Croatia. Learn more at www.cmt.ai.</div>

Principal Security Architect, Product & Application

Raymond James

<div>Job Description Summary
We are seeking a highly experienced Principal Data Engineer to provide technical leadership for mission-critical Security/Product Master Data Platforms and other enterprise-scale data platforms that support the entire enterprise. This role requires deep data engineering expertise, strong database and platform engineering skills, hands-on experience with Oracle, Redshift, Python, Spark, Glue, AWS EMR, and Iceberg, and proficiency using AI to improve engineering productivity, solution quality, and delivery velocity.
 
The candidate will be expected to lead modernization of enterprise data capabilities toward cloud data lakehouse and medallion architecture while maintaining operational stability, resiliency, performance, security, and enterprise availability.
 
As a Principal Engineer, you will act as the technical authority for enterprise-wide platforms that manage and distribute critical security, product, and other high-value enterprise data used across business, operations, analytics, regulatory, and downstream application capabilities. The ideal candidate combines strong functional understanding of master data and enterprise data domains with hands-on engineering depth, AI-enabled engineering practices, and experience transitioning legacy or operational data platforms toward a modern cloud data lakehouse architecture using medallion patterns.
Job Description
This position follows a hybrid work model, with an expectation to be in the office 3 days per week at the St. Petersburg, FL Corporate Office location.
Please note: This role is not eligible for Work Visa sponsorship, either currently or in the future.
Responsibilities
Technical Strategy &amp; Architecture
<ul><li>Master Data Platforms and other enterprise-scale data platforms, ensuring scalability, reliability, availability, performance, and enterprise-wide reuse.
</li><li>Establish engineering standards, data architecture patterns, integration patterns
</li><li>Define and drive the target-state architecture for enterprise Security/Product , and design principles for mission-critical master data and enterprise-scale data platforms.
</li><li>Lead system design and modernization roadmaps for high-impact initiatives across security, product, master data, and other enterprise-scale data domains.
</li></ul>Engineering Leadership
<ul><li>Provide technical leadership across multiple teams, not limited to a single project or squad.
</li><li>Act as a trusted advisor to leadership on technology strategy, trade-offs, and long-term platform evolution.
</li><li>Drive alignment across engineering, data, and platform teams to ensure consistency and reusability.
</li></ul>Solution Design &amp; Development
<ul><li>Lead the design and development of enterprise-grade Python applications and distributed systems.
</li><li>Oversee architecture and implementation of data pipelines, APIs, and large-scale data processing frameworks.
</li><li>Ensure solutions are designed with high availability, fault tolerance, and observability.
</li></ul>Data &amp; Database Engineering
<ul><li>Lead end-to-end engineering ownership for mission-critical database and master data platforms, including development, support, maintenance, lifecycle management, performance, reliability, and operational excellence.
</li><li>Apply advanced database optimization strategies across Oracle and related platforms, including performance tuning, partitioning, query optimization, resiliency, recoverability, and scalability.
</li><li>Ensure efficient data modeling, storage, and access patterns across platforms.
</li><li>Apply hands-on expertise in Oracle/ODI, Python, Spark, AWS EMR, Redshift, S3, and Iceberg to design, build, and modernize enterprise data platforms.
</li><li>Lead transition of legacy and operational master data capabilities toward modern cloud data lakehouse architecture using S3, Iceberg, Redshift, and medallion patterns for ingestion, transformation, curation, quality, and governed consumption.
</li></ul><h2 class="jobSectionHeader">Data Understanding
</h2><ul><li>Strong functional and data understanding of Security/Product Master Data Platforms is required, including how enterprise master data is modeled, governed, integrated, consumed, and supported.
</li><li>Must have experience across core enterprise data domains, including Clients, Accounts, Assets and Liabilities, Trades and Activities, Security/Product Master, with particular depth in Security/Product Master Data.
</li><li>Must have hands-on experience working with master data platforms supporting these domains, including business meaning, reference data, data lineage, data quality, integration, stewardship, downstream consumption, and operational support patterns.
</li><li>Ability to partner with business, architecture, governance, operations, and application teams to translate functional data needs into durable platform capabilities and reusable data products.
</li></ul>CI/CD &amp; Platform Engineering
<ul><li>Architect and standardize CI/CD pipelines using Jenkins and modern DevOps practices.
</li><li>Drive adoption of automation-first principles across build, test, and deployment workflows.
</li><li>Promote DevSecOps best practices and governance controls.
</li></ul>Cloud &amp; Containerization
<ul><li>Lead cloud modernization of enterprise master data capabilities, including transition to cloud data lakehouse architecture and medallion-based bronze, silver, and gold data layers.
</li><li>Influence AWS-based data architecture decisions, including appropriate use of Spark, AWS EMR, cloud storage, orchestration, data quality controls, and scalable consumption patterns.
</li><li>Drive modernization while preserving operational continuity, enterprise availability, data trust, cost discipline, security, and compliance expectations.
</li></ul>Performance, Reliability &amp; Scalability
<ul><li>Establish frameworks for performance engineering, observability, monitoring, SLAs, SLOs, SLIs, and operational readiness for enterprise-wide master data platforms.
</li><li>Lead root cause analysis of critical production issues and define systemic improvements across platform reliability, data quality, resiliency, recovery, and downstream dependency management.
</li><li>Ensure the platform meets enterprise-grade resiliency, recovery, security, and availability requirements for mission-critical data distribution.
</li></ul><h2 class="jobSectionHeader">AI-Enabled Engineering
</h2><ul><li>Demonstrate proficiency in using AI tools and AI-assisted engineering practices to improve individual and team efficiency, productivity, solution quality, and delivery velocity.
</li><li>Use AI responsibly to accelerate analysis, design, coding, testing, documentation, troubleshooting, and operational support while maintaining appropriate engineering judgment, security, and governance standards.
</li><li>Identify opportunities to apply AI to develop better technical solutions, reduce manual effort, improve platform reliability, and increase the speed of modernization initiatives.
</li></ul>Mentorship &amp; Talent Development
<ul><li>Mentor senior engineers and leads, raising the overall technical bar of the organization.
</li><li>Drive knowledge sharing, standards adoption, and engineering excellence initiatives.
</li><li>Serve as a role model for engineering best practices and problem-solving.
</li></ul>Technical Skills
<ul><li>Expert-level proficiency in data engineering and large-scale data processing using Python, Oracle/ODI, Spark, AWS EMR, Redshift, Iceberg, distributed systems design, and modern platform engineering patterns.
</li><li>Deep expertise in CI/CD using Jenkins, Kubernetes, and containerization.
</li><li>Strong experience designing, building, and operating data pipelines, APIs, batch and near-real-time data processing capabilities, data quality controls, lineage, and enterprise consumption patterns.
</li><li>Experience modernizing legacy or operational platforms into cloud data lakehouse architecture using medallion patterns, including bronze, silver, and gold layers, curated data products, and governed consumption.
</li><li>Experience developing, supporting, maintaining, and modernizing mission-critical database and master data platforms in production environments.
</li><li>Strong functional understanding of enterprise master data domains, especially Security/Product Master, with exposure to Clients, Accounts, Assets and Liabilities, Trades, and Activities.
</li><li>Proficiency using AI tools and AI-assisted engineering practices to improve productivity, accelerate delivery, enhance solution design, improve documentation, and increase engineering velocity.
</li><li>Advanced knowledge of database performance optimization, data modeling, platform reliability, and production support for mission-critical data platforms.
</li><li>Strong understanding of cloud platforms, including AWS, Azure, and GCP, and modern architecture patterns.
</li><li>Experience in enterprise architecture, system integration, and platform engineering.
</li></ul>Leadership &amp; Behavioral Competencies
<ul><li>Strategic thinker with ability to connect technical decisions to business outcomes
</li><li>Strong influence skills across teams without direct authority
</li><li>Exceptional problem-solving and system-level thinking
</li><li>Excellent communication skills, including ability to engage with senior leadership and stakeholders
</li></ul>Required Qualifications :
<ul><li>15+ years of progressive engineering experience, including technical leadership for enterprise-scale data, database, or platform engineering capabilities.
</li><li>Strong hands-on data engineering experience with Python, Oracle/ODI, Spark, AWS EMR, Redshift, Iceberg, and large-scale data processing patterns.
</li><li>Experience developing, supporting, maintaining, and modernizing mission-critical database, master data, or enterprise-scale data platforms in production environments.
</li><li>Strong functional and data understanding of Security/Product Master Data Platforms, with working knowledge of enterprise data domains such as Clients, Accounts, Assets and Liabilities, Trades, and Activities.
</li><li>Experience with cloud data lakehouse architecture, medallion patterns, data quality controls, lineage, governed consumption, and reusable data product patterns.
</li><li>Proficiency using AI tools and AI-assisted engineering practices to improve productivity, solution quality, documentation, troubleshooting, and delivery velocity.
</li><li>Strong communication, technical influence, and cross-functional leadership skills with the ability to engage engineering, architecture, governance, operations, product, and business stakeholders.
</li><li>Experience in Agile/Scrum at scale, such as SAFe or similar frameworks.
</li><li>Experience in financial services, wealth management, capital markets, Security/Product Master Data, or enterprise reference data platforms.
</li><li>Experience leading modernization of enterprise master data or reference data platforms from legacy technologies toward cloud data lakehouse, medallion architecture, or governed data product models.
</li><li>Experience with enterprise data governance, data quality, lineage, stewardship, metadata management, and enterprise consumption patterns at scale.
</li><li>Experience applying AI-enabled engineering practices to improve development efficiency, operational productivity, solution quality, and delivery velocity.
</li></ul>Education
Bachelor&rsquo;s: Business Administration, Bachelor&rsquo;s: Computer and Information Science (Required), Bachelor&rsquo;s: Computer Engineering
Work Experience
General Experience - More than 15 years
Certifications
Travel
Less than 25%
Workstyle
Hybrid
The total compensation for this position includes base salary or wages, and may include components such as additional compensation (cash or equity), discretionary bonuses, or commissions. This position is eligible for a benefits package that may include medical, dental, and vision; life insurance; critical illness insurance and accident insurance; disability benefits; retirement savings; paid time off (including vacation, holidays, and sick leave); and parental leave. Eligibility for benefits and specific offerings may vary based on position and employment status. To view more details of the benefits offered, visit Myrjbenefits.com. 
<div>At Raymond James our associates use five guiding behaviors (Develop, Collaborate, Decide, Deliver, Improve) to deliver on the firm's core values of client-first, integrity, independence and a conservative, long-term view.
 
 
We expect our associates at all levels to:
 
<ul><li>Grow professionally and inspire others to do the same
</li><li>Work with and through others to achieve desired outcomes
</li><li>Make prompt, pragmatic choices and act with the client in mind
</li><li>Take ownership and hold themselves and others accountable for delivering results that matter
</li><li>Contribute to the continuous evolution of the firm
</li></ul></div>At Raymond James &ndash; as part of our people-first culture, we honor, value, and respect the uniqueness, experiences, and backgrounds of all of our Associates. When associates bring their best authentic selves, our organization, clients, and communities thrive. The Company is an equal opportunity employer and makes all employment decisions on the basis of merit and business needs.
#LI-SA1</div>

Principal Data Engineer

<div>Work Location:
Southfield, Michigan, United States of America
Hours:
40
Pay Details:
$148,720 - $223,080 USD
TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.
As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.
Line of Business:
Analytics, Insights, &amp; Artificial Intelligence
Job Description:
The Principal Data Scientist is responsible for collecting data and using a wide range of data science techniques, including but not limited to data wrangling, profiling and visualization, statistical inference, to uncover actionable insights or build analytics solutions that guide decision making and strategic planning.
In addition, the Principal Data Scientist provides technical expertise with a focus on bank and industry-wide solutions that addresses capability gaps to create opportunities for significant value for customers.
Own end-to-end decisioning and pricing optimization engine, use large-scale historical and market data to form hypotheses, conduct analyses, develop machine learning models, evaluate and implement model and drive business decisions
Analyze large-scale data and apply statistical models to recommend insights and solve business objectives
Collaborate with business partners to identify and refine business strategies, analyze alternative deal structures and deliver business P&amp;L expectations
Stay up to date on industry trends and optimization methodologies in auto finance markets
Depth &amp; Scope:
<ul><li>Delivers advanced analytical capabilities above and beyond existing methods
</li><li>Exceptionally leads and runs analytical projects autonomously and creates and effectively delivers analytical presentations for executive audiences/stakeholders
</li><li>Showcases advance level peer leadership, impacts and influences partner, and may mentor/coach peers
</li><li>Extensive understanding of the business supported and the overall bank with deep expertise and highly specialized knowledge of analytical concepts and techniques
</li><li>Acts as a key business partner, guides and collaborates with business leaders to prioritize and identify key business needs and provides impactful analytical insights
</li><li>Leads authority on Data Science concepts, principals, practices and standards
</li><li>Thought leader on IT risk-based approaches to Data Science
</li><li>Sets the direction and oversees the work of other Data Science professionals on complex, highly visible projects of significant profile, strategic importance, and enterprise impact to the bank
</li><li>Provides consultative and strategic guidance to executive leadership
</li><li>Principal Data Science assigned to work autonomously on high profile, complex and high-risk technology initiatives with significant impact to the organization
</li><li>Primarily works at the enterprise level
</li></ul>Education &amp; Experience:
<ul><li>Undergraduate degree or advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science) Graduate's degree preferred with either progressive project work experience, or;
</li><li>10+ year of relevant experience; higher degree education and research tenure can be counted
</li></ul>Customer Accountabilities:
<ul><li>Works closely with business owners to identify opportunities and serves as an ambassador for data science
</li><li>Is familiar with the business context and data infrastructure and can translate business problems to viable data science solutions
</li><li>Uses a wide range of programing languages (e.g. Python) and techniques for extracting and preparing data, applying statistics and various advanced analytics, along with business acumen to extract insights from the big data
</li><li>Visualizes insights from the data to tell and illustrate stories that clearly convey the meaning of results to decision-makers and stakeholders at every level of technical understanding
</li><li>Collaborates with other partners, such as data and business analysts, software engineers, data engineers, and application developers to develop scalable and sustainable data science solutions that retains long term benefit to the business
</li><li>Provides deep technical leadership and expertise to support and define future direction in one or more specialized areas or leads strategic development efforts on new or emerging data science related projects
</li><li>Plays a lead role on cross functional teams of data scientists, data analysts, data engineers, and business process owners to build cutting edge analytic solutions
</li></ul>Shareholder Accountabilities:
<ul><li>Provides analytical thought leadership and stays current on developments in data mining and the application of data science
</li><li>Provides thought leadership and/or broad industry knowledge across multiple business/functional areas or across the enterprise
</li><li>Applies industry/analytical expertise to provide innovative and sound solutions that increases business results and/or minimizes risk
</li><li>Identifies new analytical trends/data needs and repeatable analytic solutions and works with stakeholders to generate hypothesis and creates analytical models that help answer impactful business questions
</li><li>Protects the interests of the organization &ndash; identifies and manages risks, and escalates non-standard, high-risk activities as necessary
</li><li>Accountable for creating and implementing processes and systems to extract knowledge or insights from data of various forms either structured or unstructured
</li><li>Employs techniques and theories drawn on many fields within the broad areas of mathematics and statistics
</li><li>Adheres to enterprise frameworks or methodologies that relates to activities for business area
</li><li>Participates in cross-functional/enterprise initiatives as a subject matter expert helping to identify risk/provide guidance for complex situations
</li><li>Leads/facilitates and/or implements action/remediation plans to address performance/risk/governance issues
</li><li>Actively manages relationships within and across various business lines, corporate and/or control functions and ensures alignment with enterprise and/or regulatory requirements
</li><li>Keeps abreast of emerging issues, trends, and evolving regulatory requirements and assesses potential impacts
</li><li>Maintains a culture of risk management and control, supported by effective processes in alignment with risk appetite
</li></ul>Employee/Team Accountabilities:
<ul><li>Participates fully as a member of the team, supports a positive work environment that promotes service to the business, quality, innovation and teamwork and ensures timely communication of issues/points of interest
</li><li>Provides thought leadership and/or industry knowledge for own area of expertise in own area and participates in knowledge transfer within the team and business unit
</li><li>Keeps current on emerging trends/developments and grows knowledge of the business, related tools and techniques
</li><li>Participates in personal performance management and development activities, including cross training within own team
</li><li>Keeps others informed and up to date about the status/progress of projects and/or all relevant or useful information related to day-to-day activities
</li><li>Contributes to team development of skills and capabilities through mentorship of others, by sharing knowledge and experiences and leveraging best practices
</li><li>Leads, motivates and develops relationships with internal and external business partners/stakeholders to develop productive working relationships
</li><li>Contributes to a fair, positive and equitable environment that supports a diverse workforce
</li><li>Acts as a brand ambassador for your business area/function and the bank, both internally and/or externally
</li></ul>Physical Requirements:
Never: 0%; Occasional: 1-33%; Frequent: 34-66%; Continuous: 67-100%
<ul><li>Domestic Travel &ndash; Occasional
</li><li>International Travel &ndash; Never
</li><li>Performing sedentary work &ndash; Continuous
</li><li>Performing multiple tasks &ndash; Continuous
</li><li>Operating standard office equipment - Continuous
</li><li>Responding quickly to sounds &ndash; Occasional
</li><li>Sitting &ndash; Continuous
</li><li>Standing &ndash; Occasional
</li><li>Walking &ndash; Occasional
</li><li>Moving safely in confined spaces &ndash; Occasional
</li><li>Lifting/Carrying (under 25 lbs.) &ndash; Occasional
</li><li>Lifting/Carrying (over 25 lbs.) &ndash; Never
</li><li>Squatting &ndash; Occasional
</li><li>Bending &ndash; Occasional
</li><li>Kneeling &ndash; Never
</li><li>Crawling &ndash; Never
</li><li>Climbing &ndash; Never
</li><li>Reaching overhead &ndash; Never
</li><li>Reaching forward &ndash; Occasional
</li><li>Pushing &ndash; Never
</li><li>Pulling &ndash; Never
</li><li>Twisting &ndash; Never
</li><li>Concentrating for long periods of time &ndash; Continuous
</li><li>Applying common sense to deal with problems involving standardized situations &ndash; Continuous
</li><li>Reading, writing and comprehending instructions &ndash; Continuous
</li><li>Adding, subtracting, multiplying and dividing &ndash; Continuous
</li></ul>The above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties and skills required. The listed or specified responsibilities &amp; duties are considered essential functions for ADA purposes.
Who We Are:
TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we strive to make every interaction, product, and experience remarkably human and refreshingly simple for over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to foster deeper relationships, ensure disciplined execution, and build a simpler, faster banking experience. TD is deeply committed to being a leader in client experience, that is why we believe that all colleagues, no matter where they work, are client facing. Together, we are reimagining what banking can be for our clients, colleagues and communities.
Our Total Rewards Package 
 
Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical and mental well-being goals. Total Rewards at TD includes base salary and variable compensation/incentive awards (e.g., eligibility for cash and/or equity incentive awards, generally through participation in an incentive plan) and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off (including Vacation PTO, Flex PTO, and Holiday PTO), banking benefits and discounts, career development, and reward and recognition. Learn more
Additional Information:
 
We&rsquo;re delighted that you&rsquo;re considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we&rsquo;re committed to providing the support our colleagues need to thrive both at work and at home.
 
 
Colleague Development
If you&rsquo;re interested in a specific career path or are looking to build certain skills, we want to help you succeed. You&rsquo;ll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities. 
If you&rsquo;re passionate about helping clients and building deep, lasting relationships, TD offers diverse career paths where you can grow your expertise and make a meaningful impact.
We're committed to your success and foster a respectful workplace where diverse perspectives are valued, everyone has fair opportunities to grow, and you can unlock your full potential to achieve your career goals. Here at TD, we hire and develop the best.
Training &amp; Onboarding
 
We will provide training and onboarding sessions to ensure that you&rsquo;ve got everything you need to succeed in your new role.
 
 
Interview Process
 
We&rsquo;ll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.
Accommodation
TD Bank is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, status as a protected veteran or any other characteristic protected under applicable federal, state, or local law.
If you are an applicant with a disability and need accommodations to complete the application process, please email TD Bank US Workplace Accommodations Program at USWAPTDO@td.com . Include your full name, best way to reach you and the accommodation needed to assist you with the applicant process.</div>

Principal Data Scientist (US)

Northrop Grumman

<div>RELOCATION ASSISTANCE: Relocation assistance may be available
CLEARANCE REQUIRED FOR START: Yes
CLEARANCE TYPE: Secret
TRAVEL: No<h2 class="jobSectionHeader">
Description</h2>
At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work &mdash; and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history.
Northrop Grumman Aeronautics Systems Sector has an opening for a Principal Data Engineer to join our Digital Strategy &amp; Analytics team. This position is located in Rancho Bernardo, California.
Are you motivated to work in an environment that will challenge you, force you to continuously innovate, and work on solutions that make a difference for your customers? Northrop Grumman Aeronautics Systems relies on our team to provide the insights needed to drive performance across a broad range of strategic activities. We are looking for a passionate Data Engineer to design and develop an ecosystem of interconnected business systems, virtualized data pipelines, data catalogs, and end-user consumable data products.
You will share in the ownership of the technical vision and direction for a Digital Ecosystem that changes the way we see and use data. We are looking for people who are self-motivated, hardworking, and have demonstrated the ability to find innovative solutions to complex technical problems.
Essential Functions:
Develop and run a data architecture plan that supports business goals and objectives
Build and maintain data models and metadata standards to facilitate data integration and analysis
Work with business stakeholders to understand their data requirements and develop solutions to meet those requirements
Work across technical teams and product owners to provide an architectural recommendation
Lead a technical and technology assessment initiative to develop and deliver a recommendation for digitizing core business functions
Understand the current business processes, systems and their functions to be able to develop a recommendations for the digital ecosystem
Ensure that data storage and retrieval solutions are in line with business requirements.
Excellent verbal, written, and presentation communication skill
Collaboration and problem-solving skills
Basic Qualifications
<ul><li>Bachelor&rsquo;s degree in a Science, Technology, Engineering, or Mathematics (STEM) field with at least 5 years of experience OR Master&rsquo;s degree in a Science, Technology, Engineering, or Mathematics (STEM) field with at least 3 years of experience</li><li>
Experience with data architecture, data models, physical database designs, data integration strategy and design for operational systems, systems integration, and analytical systems</li><li>
Experience with SQL Server and proficiency in data visualization tools (e.g., Tableau, Power BI, etc.)</li><li>
Knowledge of data governance best practices, data quality standards, and data security protocols</li><li>
Your ability to transfer and maintain the final adjudicated government Secret clearance and any program access(es) required for the position within a reasonable period of time, as determined by the Company.</li></ul>
Preferred Qualifications:<ul><li>
Master&rsquo;s degree in a STEM field with 7 years of relevant experience.</li><li>
5 years of experience working with ETL techniques and frameworks.</li><li>
Expert in Python, SQL, and data visualization tools.</li><li>
Experience with NoSQL Databases (e.g., MongoDB, Neo4J, etc.)</li><li>
Development experience utilizing Hadoop, Spark, PowerShell, and automation scripts.</li><li>
Experience with data platform technologies (e.g., Palantir, Databricks, etc.).</li><li>
Experience with Data Virtualization, Warehousing, Cataloging, and Orchestration tools (e.g. Denodo, Collibra, Airflow, DataHub, etc.)</li><li>
Experience with UI/UX design and development / Graphic Design</li><li>
Top Secret clearance</li><li>
CompTIA Security+ Certification or Equivalent 8570 Certification</li></ul>
Primary Level Salary Range: $114,000.00 - $171,000.00
The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions.
Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business.
The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates.
Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit http://www.northropgrumman.com/EEO. U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.</div>

Principal Engineer Data

Search 8934+ Principal data architect jobs near you this August. New roles added regularly across leading industries. Apply today.