lead data architect

Abbott

<div><p>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.</p><p></p><p><b>
The Opportunity</b></p><p></p><p>
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.</p><p>
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.</p><p></p><p><b>
What You'll Work On</b></p><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><p></p><p><b>
Required Qualifications</b></p><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><p></p><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><p></p><p><b>
Preferred Qualifications</b></p><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><p></p><p><b>
Apply Now</b></p><p>
Learn more about our health and wellness benefits, which provide the security to help you and your family live full lives: www.abbottbenefits.com</p><p>
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.</p><p>
Connect with us at www.abbott.com, on Facebook at www.facebook.com/Abbott, and on Twitter @AbbottNews.</p><p>
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.</p><p></p><p><b>
Working at Abbott</b></p><p>
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:</p><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><p><br>
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.</p></div>

Principal Data Architect

EXL Service

<div><p><b>Job Description: We are seeking an experienced Lead Data Engineer to support complex data engineering initiatives within our insurance data and analytics practice. This role combines deep technical expertise with strong coordination skills, working closely with onshore and offshore teams, business stakeholders, and project leadership to deliver enterprise data modernization and migration programs. The candidate will serve as a technical point of contact for cross-functional teams while remaining hands-on with cloud data technologies.
</b></p><p>Base Compensation Range: 90,000 &ndash; 140,000
</p><p>The posted range is the hiring range for this role &mdash; a subset of the broader range available to employees over time &mdash; and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process.
</p><p>For more information on benefits and what we offer please visit us at https://www.exlservice.com/us-careers-and-benefits</p></div>
<br><div><p><b>Responsibilities: Technical Delivery
</b></p><ul><li>Design and implement end-to-end data pipelines using PySpark, Snowflake, and AWS cloud services
</li><li>Architect scalable ELT/ETL workflows and data warehouse models supporting insurance analytics use cases
</li><li>Drive data migration and modernization efforts from legacy environments to cloud-native platforms
</li><li>Develop and review complex SQL transformations, stored procedures, and data quality validation frameworks
</li><li>Establish and enforce data engineering standards, coding best practices, and pipeline documentation
</li><li>Provide hands-on troubleshooting and performance optimization across the data stack
</li></ul><p><b>Team Coordination &amp; Stakeholder Engagement
</b></p><ul><li>Coordinate day-to-day activities across onshore and offshore data engineering teams to ensure timely delivery
</li><li>Serve as a technical point of contact for business stakeholders, translating requirements into engineering deliverables
</li><li>Facilitate requirement-gathering sessions, sprint planning, and status updates with project teams
</li><li>Communicate project progress, risks, and dependencies to project managers and client stakeholders
</li><li>Mentor junior engineers and conduct code reviews to uphold quality standards
</li><li>Collaborate with data architects, analysts, and QA teams throughout the project lifecycle
</li></ul><div><p><b>Required Skills &amp; Qualifications
</b></p></div><p><b>Technical Skills
</b></p><ul><li>Deep experience with Snowflake including data modeling, performance tuning
</li><li>Proficiency with AWS services &mdash; S3, Glue, Lambda, EMR, Redshift, Step Functions, CloudWatch
</li><li>Strong experience building distributed data processing frameworks with Apache Spark / PySpark
</li><li>Advanced SQL skills &mdash; complex transformations, query optimization, and dimensional modeling
</li><li>Expertise in DWH design patterns &mdash; Kimball, Inmon, Data Vault, star and snowflake schemas
</li><li>Demonstrated experience leading or contributing to cloud migration and legacy modernization programs
</li><li>Familiarity with tools such as dbt, Apache Airflow, AWS Glue, or similar orchestration frameworks
</li><li>Solid Python programming for data engineering and automation tasks
</li></ul><p><b>Experience Requirements
</b></p><ul><li>6&ndash;9 years of progressive experience in data engineering
</li><li>Prior experience in insurance, financial services, or regulated industries preferred
</li><li>Experience coordinating distributed teams across time zones (onshore/offshore model)
</li><li>Demonstrated ability to engage with non-technical stakeholders and translate business requirements
</li></ul><p>Exposure to Agile/Scrum delivery methodology</p></div>
<br><p></p><div><ul><li>Qualifications: Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field</li></ul></div><p></p>

Lead Data Engineer

Maximus

<div>Maximus TCS (Technology and Consulting Services) Internal Job Profile Code: TCS034, T4, Band 7
<p><b>Job-Specific Essential Duties and Responsibilities:
</b></p><ul><li>Serve as senior technical authority for enterprise cloud architecture, ensuring alignment with Government strategy, mission objectives, and Contractor Program Management Lead (PML)
</li><li>Design and govern multi-cloud architecture (Azure, AWS, GovCloud); develop scalable multi-account and multi-tenant architectures, including hub-and-spoke models and governance controls
</li><li>Lead CSP integration and platform modernization, including identity, networking, shared services, and architectural roadmaps
</li><li>Define and implement Infrastructure as Code (IaC) strategies for automated provisioning, configuration management, and lifecycle operations
</li><li>Establish architecture standards, patterns, and guardrails
</li><li>Ensure interoperability across mission systems and enterprise platforms
</li><li>Provide technical oversight for engineering and DevSecOps teams to ensure integrated, secure, automated software delivery
</li><li>Design high-availability and resilient cloud solutions to meet performance requirements including uptime, scalability, and low latency.
</li><li>Oversee development and documentation of test plans related to the multicloud ecosystem
</li><li>Lead implementation of disaster recovery architectures, including cross-region replication and continuity of operations strategies.
</li><li>Develop and enforce cloud security architecture aligned with RMF, NIST 800-53, FedRAMP, and DISA requirements.
</li><li>Develop and maintain architecture documentation including system diagrams, technical specifications, and SOPs
</li><li>Support Government decision-making through technical analysis, briefings, and advisory recommendations
</li></ul><p><b>Job-Specific Minimum Requirements:
</b></p><ul><li>Active Secret security clearance required
</li><li>8+ years enterprise architecture and cloud solutions
</li><li>Ability to commute as needed to the work site in San Antonio, Texas.
</li><li>Cloud architect certification (AWS, Azure, GCP)
</li><li>Experience designing DoD reference architectures in government-owned enterprise cloud ecosystems (e.g., Cloud One, Platform One)
</li><li>Active IAT/IAM Level II certification
</li></ul><p><b>Preferred Skills and Qualifications:
</b></p><ul><li>Expertise in hybrid/multi-cloud networking, identity federation (Zero Trust) plus Cloud security architecture and compliance (RMF, FedRAMP, DISA)
</li><li>Relevant and recent experience with DevSecOps pipelines and automated deployment strategies (to include zero downtime and blue/green deployment best practices in order to achieve high-availability and other similar Service Level Agreements)
</li><li>Experience with API-first architectures and microservices
</li><li>Familiarity with data platforms, AI/ML integration, and analytics pipelines
</li><li>Knowledge of Infrastructure as Code (IaC) technologies (Terraform, CloudFormation)
</li><li>Knowledge of FinOps and cloud cost optimization practices
</li><li>Strong engagement and executive-level technical communication with internal and external stakeholders
</li></ul><p>#techjobs #clearance #veteransPage
</p><p>Minimum Requirements
<br>
<br>
TCS034, T4, Band 7
</p><p>EEO Statement
<br>
<br>
Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics.
</p><p>Pay Transparency
<br>
<br>
Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances.
</p><p><b>Accommodations</b>
<br>
Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at <b>applicantaccom@maximus.com </b>.
</p><p>Minimum Salary<br>
$170,000.00
</p><p>Maximum Salary<br>
$190,000.00</p></div>

Lead Cloud Architect

Georgia-Pacific

<div><b>Your Job</b><p>
As a Lead Data Platform Engineer on the Georgia Pacific Data Platform team, you will help deliver trusted, high-quality data across hundreds of systems and thousands of data assets. You will own, deliver, operate, and help architect the Enterprise Data Lake, Ingestion Framework, and Databricks Platform while partnering with Data Governance, Data Delivery, Product Owners, and Solution Architects to keep the platform reliable, scalable, governed, and aligned with business needs.</p><p>
This role is based in our Atlanta, GA HQ office located on Peachtree St. The expectation is hybrid (3x) in office per week.</p><p><b>
Our Team</b></p><p>
The Georgia Pacific Data Platform team builds, manages, &amp; operates centralized products that support Georgia Pacific's Business Units and IT. These products enable data to be ingested, stored, processed, governed, managed, presented, and consumed consistently across the enterprise.</p><p><b>
What You Will Do</b></p><br>
<ul><li>
Lead and optimize the GP data platform (Enterprise Data Lake, Ingestion Framework, Databricks), ensuring reliability, integrity, and cost efficiency data and data infrastructure
</li><li>Collaborate with cross-functional teams to deliver features, maintain a healthy agile process, and enhance platform accessibility for customers
</li><li>Drive automation, operational excellence, and continuous improvement through performance monitoring, issue resolution, and development of self-service tools
</li></ul><p><b>Who You Are (Basic Qualifications)</b></p><br>
<ul><li>
Experience designing, building, and maintaining large-scale distributed systems
</li><li>Experience serving as a senior technical leader overseeing multiple data engineering teams
</li><li>Experience in architectural design and systems integration for multi-stakeholder, enterprise-grade platforms
</li><li>Experience leading operations for highly available data platforms and data lakes
</li><li>Demonstrated experience in data infrastructure, including proficiency with Infrastructure as Code practices and skilled in GIT and CI/CD design patterns
</li><li>Must have legal authorization to work permanently in the United States for any employer without requiring a visa transfer or visa sponsorship
</li></ul><p><b>What Will Put You Ahead</b></p><br>
<ul><li>
Delivered innovative, scalable data solutions using Python, SQL, Spark, and Delta Lake, while optimizing data accessibility with open table formats (Delta, Hudi, Iceberg)
</li><li>Enhanced system efficiency and reliability by leveraging Terraform, Git/CI-CD workflows, and DAG tools (Airflow, Step Functions, Databricks Declarative Pipelines)
</li><li>Implemented and optimized the Databricks Data Platform and AWS services (Lambda, Glue, EventBridge, ECS, Kafka, etc.) to support business objectives
</li></ul><p>At Koch companies, we are entrepreneurs. This means we openly challenge the status quo, find new ways to create value and get rewarded for our individual contributions. Any compensation range provided for a role is an estimate determined by available market data. The actual amount may be higher or lower than the range provided considering each candidate's knowledge, skills, abilities, and geographic location. If you have questions, please speak to your recruiter about the flexibility and detail of our compensation philosophy.</p><p><b>
Hiring Philosophy</b>
</p><p>All Koch companies value diversity of thought, perspectives, aptitudes, experiences, and backgrounds. We are Military Ready and Second Chance employers. Learn more about our hiring philosophy here.</p><p><b>
Who We Are</b></p><p>
As a Koch company and a leading manufacturer of bath tissue, paper towels, paper-based packaging, cellulose, specialty fibers, building products and much more, Georgia-Pacific works to meet evolving needs of customers worldwide with quality products. In addition to the products we make, we operate one of the largest recycling businesses. Our more than 30,000 employees in over 150 locations are empowered to innovate every day - to make everyday products even better.</p><p>
At Koch, employees are empowered to do what they do best to make life better. Learn how our business philosophy helps employees unleash their potential while creating value for themselves and the company.</p><p><b>
Our Benefits</b>
</p><p>Our goal is for each employee, and their families, to live fulfilling and healthy lives. We provide essential resources and support to build and maintain physical, financial, and emotional strength focusing on overall wellbeing so you can focus on what matters most. Our benefits plan includes medical, dental, vision, flexible spending and health savings accounts, life insurance, ADD, disability, retirement, paid vacation/time off, educational assistance, and may also include infertility assistance, paid parental leave and adoption assistance. Specific eligibility criteria is set by the applicable Summary Plan Description, policy or guideline and benefits may vary by geographic region. If you have questions on what benefits apply to you, please speak to your recruiter.</p><p><b>
Equal Opportunities</b>
</p><p>Equal Opportunity Employer, including disability and protected veteran status. Except where prohibited by state law, all offers of employment are conditioned upon successfully passing a drug test. This employer uses E-Verify. Please visit the following website for additional information: http://www.kochcareers.com/doc/Everify.pdf
</p><p>#LI-RR1</p></div>

NIKE

<div><div><div><div>Position Type</div>
<div>Full Time</div>
</div><div></div><div><div>Career area</div>
<div>Data</div>
</div><div><div>Location</div>
<div>1 Bowerman Drive, Beaverton, Oregon 97005, United States</div>
</div><div></div><div><div>Job ID</div>
<div>R-88272</div></div></div><p></p><div><div><div><div><ul><li><p><br>
</p></li></ul></div></div></div></div><div><div><div><div><p>Become a Part of the NIKE, Inc. Team</p>
<p>NIKE, Inc. does more than outfit the world&rsquo;s best athletes. It&rsquo;s a place where passionate individuals come together to create the future of sport. We are unapologetic about who we are and what we&rsquo;re after&mdash;bringing innovation and inspiration to every athlete* in the world. We look for athletes who can push boundaries, elevate our potential and continue leading us to greatness. The next tastemakers, playmakers, risk takers and glue players. Are you game?</p>
</div><div><p>LEAD, DATA ENGINEER - NIKE</p>
<p><i>[Beaverton, OR - USA]</i></p>
<p></p><h2 class="jobSectionHeader"><b>WHO YOU'LL WORK WITH</b></h2>
<p>Consumer Product and Innovation (CP&amp;I) Data and Analytics Engineering sits at the intersection of product innovation and enterprise data strategy at Nike. Reporting to the Engineering Director, this team partners with data scientists, engineers, analysts, and product managers to build a cross-capability data foundation and a semantic layer that powers Advanced Analytics, Business Intelligence, and AI solutions driving business growth.</p>
<p></p><h2 class="jobSectionHeader"><b>WHO WE ARE LOOKING FOR</b></h2>
<p>We're looking for a Lead Data Engineer to design, build, and maintain scalable data pipelines and analytics solutions within Nike's CP&amp;I organization. This role drives the development of robust data products that support Business Intelligence and AI initiatives across the business. The candidate will lead technical design and development while mentoring junior engineers and setting standards for data governance, performance, and engineering excellence.</p>
<p>We're seeking someone with deep expertise in distributed data processing and cloud-based data platforms who can translate complex business requirements into reliable, production-grade solutions. The ideal candidate brings strong leadership instincts, excels in cross-functional collaboration, and communicates technical concepts clearly to both engineering peers and non-technical stakeholders. Success in this role requires a builder's mindset, a commitment to continuous improvement, and the ability to thrive in a fast-paced environment where data directly fuels innovation and growth.</p>
<ul><li>Bachelor's degree or equivalent combination of education, experience, or training</li>
<li>8+ years of experience as a Data Engineer with strong expertise in Databricks, PySpark, SQL, and Apache Spark</li>
<li>Hands-on experience with the Databricks Lakehouse Platform, Medallion architecture, Delta Lake, and AWS data services (S3, RDS)</li>
<li>Proven experience leading and mentoring data engineering teams, with strong skills in CI/CD, Git, and DevOps practices</li>
<li>Experience with data modeling, ETL/ELT processes, real-time data processing frameworks (Kafka, Kinesis, or similar), and cross-functional stakeholder communication</li>
</ul><p></p><p><b>Preferred qualifications:</b></p>
<ul><li>Knowledge of Generative AI and Machine Learning pipelines and integrating them into production environments</li>
<li>Databricks certification (e.g., Databricks Certified Data Engineer or Databricks Certified Developer for Apache Spark)</li>
</ul><p></p><h2 class="jobSectionHeader"><b>WHAT YOU'LL WORK ON</b></h2>
<p>You'll be at the forefront of building Nike's data foundation and semantic layer - designing and delivering the pipelines, frameworks, and data products that turn raw data into insights shaping product innovation and business strategy. This is hands-on, high-impact work at the intersection of engineering craft and enterprise scale.</p>
<ul><li>Lead the design, development, and deployment of scalable data pipelines and architectures that power analytics and AI initiatives across CP&amp;I</li>
<li>Partner with data scientists, analysts, product managers, and business stakeholders to translate requirements into technical specifications and deliver solutions that drive decision-making</li>
<li>Mentor junior data engineers and champion best practices in coding standards, data governance, and performance optimization</li>
<li>Build and maintain robust, reusable data engineering components, frameworks, and libraries that process data from diverse sources with consistency and quality</li>
<li>Monitor, troubleshoot, and optimize data pipelines to ensure high availability, performance, and reliability at enterprise scale</li>
<li>Implement CI/CD pipelines to automate deployment and testing of data engineering workflows</li>
<li>Participate in code reviews and contribute to a culture of collaboration, innovation, and continuous improvement</li>
</ul><p>We offer a number of accommodations to complete our interview process including screen readers, sign language interpreters, accessible and single location for in-person interviews, closed captioning, and other reasonable modifications as needed. If you discover, as you navigate our application process, that you need assistance or an accommodation due to a disability, please complete the Candidate Accommodation Request Form.</p>
</div><p></p><div><p>NIKE, Inc. is a growth company that looks for team members to grow with it. Nike offers a generous total rewards package, casual work environment, a diverse and inclusive culture, and an electric atmosphere for professional development. No matter the location, or the role, every Nike employee shares one galvanizing mission: To bring inspiration and innovation to every athlete* in the world.</p>
<p>NIKE, Inc. is an equal opportunity employer. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.</p></div><p></p><div><div><div><div><ul><br>
<li>
</li><li><p>
</p></li></ul></div></div></div></div></div></div><div><div>What You Can Expect
<h2 class="jobSectionHeader"><b>OUR HIRING GAME PLAN</b></h2>
</div><div><h3 class="jobSectionHeader"><b>01 Apply</b></h3>
<p>Our teams are made up of diverse skillsets, knowledge bases, inputs, ideas and backgrounds. We want you to find your fit &ndash; review job descriptions, departments and teams to discover the role for you.</p>
</div><div><h3 class="jobSectionHeader"><b>02 Meet a Recruiter or Take an Assessment</b></h3>
<p>If selected for a corporate role, a recruiter will reach out to start your interview process and be your main contact throughout the process. For retail roles, you&rsquo;ll complete an interactive assessment that includes a chat and quizzes and takes about 10-20 minutes to complete. No matter the role, we want to learn about you &ndash; the whole you &ndash; so don&rsquo;t shy away from how you approach world-class service and what makes you unique.</p>
</div><div><h3 class="jobSectionHeader"><b>03 Interview</b></h3>
<p>Go into this stage confident by doing your research, understanding what we are looking for and being prepared for questions that are set up to learn more about you, and your background.</p></div></div></div></div><div></div>

Wells Fargo

<div><p><b>About this role:</b></p><p>
Within COO Technology, Wells Fargo is seeking a Lead Data Engineer to help shape and scale our cloud‑native data ecosystem. In this role, you will focus on Google Cloud Platform (GCP) services and frameworks, leading the design, build, and operation of reusable data capabilities that power analytics and AI at enterprise scale. The ideal candidate is passionate about standardized frameworks, self‑service data platforms, and governance‑by‑design, enabling secure, reliable, and compliant data solutions across Google Cloud services.</p><p></p><p>
The COO Technology group powers the firm&rsquo;s most critical operations by modernizing and optimizing enterprise technology platforms that enable resiliency, regulatory excellence, data services, customer experience, and strategic execution across the Chief Operating Office.</p><p></p><p><b>
In this role, you will:</b></p><ul><li>
Design and implement scalable, secure data platforms on Google Cloud using managed services (BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage, Composer).)</li><li>
Build reusable frameworks and tooling (ingestion, transformation, quality, orchestration) that can be adopted by multiple product and domain teams.</li><li>
Enable self‑service data consumption and governance by standardizing patterns, templates, and platform capabilities rather than one‑off pipelines.</li><li>
Design logical and physical data platform architectures leveraging BigQuery, Dataflow/Apache Beam, Dataproc/Spark, Pub/Sub, and Cloud Storage.</li><li>
Define and implement standardized ingestion, transformation, and serving patterns (batch and streaming) as reusable blueprints.</li><li>
Optimize cost, performance, and reliability of GCP data workloads (partitioning, clustering, storage classes, autoscaling strategies).</li><li>
Build opinionated data ingestion frameworks (e.g., config‑driven pipelines, connectors, schema handling, error handling) on top of Dataflow, Dataproc, or Composer.</li><li>
Develop shared transformation libraries in Python/SQL/Beam (e.g., common SCD patterns, data quality checks, masking/tokenization routines).</li><li>
Provide orchestration capabilities via Cloud Composer or Cloud Workflows with reusable DAGs/templates and CI/CD integration.</li><li>
Implement robust data modeling (dimensional, data vault, or canonical models) and semantic layers in BigQuery and related tools.</li><li>
Enforce data quality, lineage, and observability using standardized metrics, validation rules, and monitoring dashboards.</li><li>
Apply security and governance controls: IAM, VPC‑SC, CMEK, row/column‑level security, and policy‑driven access patterns</li><li>
Partner with domain data engineers, analytics, and ML teams to onboard use cases onto platform services and frameworks</li><li>
Document patterns, runbooks, and best practices, and provide enablement through workshops and code examples.</li><li>
Contribute to platform roadmap, tool selection, and evaluation of new GCP services and open‑source components</li></ul><p></p><p><b>
Required Qualifications:</b></p><ul><li>
5+ years of Database Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education</li><li>
5+ years of data management experience within Public Cloud (GCP, AWS, Azure)
</li><li>5+ years of hands on experience of Python or Java, plus Spark SQL for building data pipelines, libraries, and automation tooling.</li><li>
5+ years with orchestration tools (Cloud Composer/Airflow) and CI/CD (Cloud Build, Git‑based workflows) for data workloads</li></ul><p></p><p><b>
Desired Qualifications:</b></p><ul><li>
Experience with logging/monitoring stacks (Cloud Logging, Cloud Monitoring, error reporting, metrics dashboards</li><li>
Experience with automated testing, data quality checks, and monitoring for pipelines and platform services.</li><li>
Knowledge of cloud architecture principles (networking, security, IAM, reliability, cost management).</li><li>
Experience with core GCP data services: BigQuery, Dataflow/Apache Beam, Dataproc, Pub/Sub.</li></ul><ul><li>
Experience with Agile transformations and technology roadmaps.</li><li>
Experience working with onshore and offshore teams.</li></ul><p></p><p><b>
Job Expectations:</b></p><ul><li>
Flexible to provide both application development and production support during off-hours</li><li>
This role is not eligible for Visa Sponsorship</li><li>
Hybrid schedule (3 days in office, 2 days remote)</li><li>
Work Transparently: You always deal in an honest, direct, and transparent way</li><li>
Take Ownership: You embrace responsibility and find joy in having the answers</li><li>
Learn More: You regularly self-educate and improve your skill set</li></ul><p></p><p><b>
Job Posting Locations:</b></p><p>
194 S Wood Ave, Iselin, New Jersey 08830</p><p>
300 S Brevard St., CHARLOTTE, North Carolina 28202</p><p>
401 Las Colinas Blvd W Bldg A, Irving, Texas 75039</p><p></p><p><b>
Pay Range</b></p><p><br>
Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities.</p>
$119,000.00 - $224,000.00<p></p><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p><b>
Benefits
</b></p><p></p><p>Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees.</p><ul><li>
Health benefits</li><li>
401(k) Plan</li><li>
Paid time off</li><li>
Disability benefits</li><li>
Life insurance, critical illness insurance, and accident insurance</li><li>
Parental leave</li><li>
Critical caregiving leave</li><li>
Discounts and savings</li><li>
Commuter benefits</li><li>
Tuition reimbursement</li><li>
Scholarships for dependent children</li><li>
Adoption reimbursement</li></ul></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div><p></p><p><b>
Posting End Date:</b></p><p></p>
4 Aug 2026<ul><li><b><i>Job posting may come down early due to volume of applicants.</i></b></li></ul><p></p><p><b>
We Value Equal Opportunity</b></p><p></p><p>
Wells Fargo 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, disability, status as a protected veteran, or any other legally protected characteristic.</p><p></p><p>
Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit&rsquo;s risk appetite and all risk and compliance program requirements.</p><p></p><p><b>
Applicants with Disabilities</b></p><p></p><p>
To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.</p><p></p><p><b>
Drug and Alcohol Policy</b></p><p></p><p><br>
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.</p><p></p><p><b>
Wells Fargo Recruitment and Hiring Requirements:</b></p><p></p><p>
a. Third-Party recordings are prohibited unless authorized by Wells Fargo.</p><p>
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.</p></div><p></p>

Intercontinental Exchange

<div>Overview:
<p><b>
Job Purpose</b></p><p>
We are looking for individuals with a strong background in statistical modelling and financial engineering to join our research and rapid prototyping team at Intercontinental Exchange. We require candidates to have experience building, enhancing or supporting the pricing of fixed income securities with a strong interest in leveraging AI driven tooling on the job. This role requires individuals to enhance and expand proprietary algorithms designed to bring transparency and standardization to the fixed income market. You will join a fast-paced team of quants and data scientists leveraging state-of-the-art tools tasked with improving precision and scale across millions of bonds. You will also be asked to research new techniques enabled by the usage of AI to scale our business. The role will require individuals to work with significantly large data sets spanning years of historical data.</p><p></p><p><b><br>
Responsibilities</b></p><ul><li>
Learn, research, implement and maintain pricing models across fixed income asset classes</li><li>
Work closely with product, engineering and evaluation teams to procure, analyze and validate data sources</li><li>
Investigating Ad hoc issues and debugging pricing applications</li></ul><p></p><p><b><br>
Knowledge and Experience</b></p><ul><li>
Master's or higher in Computer Science, Math, Physics, Engineering, or related quantitative field, PhD preferred</li><li>
3+ years of experience doing quantitative analysis</li><li>
Hands on experience utilizing Python, C++, SQL, Shell Scripting, R</li><li>
Experience using AI &amp; ML techniques to solve complex multi-dimensional problems preferred</li><li>
An understanding of fixed income instruments</li><li>
Strong communications skills</li></ul><p></p><div><p><b><br>
New York Base Salary Range</b></p></div><div><p>
The expected base salary for this role, if located in New York, is between $130,000 - 190,000 USD. The base salary range does not include Intercontinental Exchange&rsquo;s incentive compensation. While we provide this range as general guidance, at ICE we compensate employees based on the skillset and experience of the individual. Regular full-time ICE employees are eligible for a suite of competitive employee benefits, including healthcare coverage (medical, dental and vision), a 401(k) plan, life insurance, time off, and paid leave for qualifying circumstances.</p></div>
-: Intercontinental Exchange, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics.</div>

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