data architect

Akima

<div>Company Overview: 
Work Where it Matters 
Systems Intelligence, an Akima company, is not just another federal IT contractor. As an Alaska Native Corporation (ANC), our mission and purpose extend beyond our exciting federal projects as we support our shareholder communities in Alaska. 
At Systems Intelligence, the work you do every day makes a difference in the lives of our 15,000 I&ntilde;upiat shareholders, a group of Alaska natives from one of the most remote and harshest environments in the United States. 
For our shareholders, Systems Intelligence provides support and employment opportunities and contributes to the survival of a culture that has thrived above the Arctic Circle for more than 10,000 years. 
For our government customers, Systems Intelligence delivers innovative information technology solutions that evolve and modernize IT infrastructures. 
As a Systems Intelligence employee, you will be surrounded by a challenging, yet supportive work environment that is committed to innovation and diversity, two of our most important values. You will also have access to our comprehensive benefits and competitive pay in addition to growth opportunities and excellent retirement options.
Description:

About the Mission 
The Army Software Factory (ASWF) in Austin is one of the most ambitious software initiatives in the federal government. We operate like a modern, high-growth technology startup embedded within the military, transforming active-duty Soldiers into software engineers through real-world, production-level development. 
We don't just build software to support the mission; we build the people who build the software. We utilize modern methodologies like Extreme Programming (XP), Lean Product Development, and User-Centered Design (UCD) inside cross-functional, balanced teams.
Responsibilities:

The Data Architect provides architecture, design, engineering, and management support services to the Chief Data Officer to enable ASWF to create and maintain data pipeline architectures to automate the processing of large complex data sets.
Qualifications:
<ul><li>10 years of experience with at least 3 years&rsquo; DOD experience.</li><li>
Knowledge of DoD and Army data (including metadata) administration and data standardization policies and standards.</li><li>
Knowledge of the capabilities and functionality associated with various technologies for organizing and managing data at rest and in transit.</li><li>
Knowledge of the characteristics of physical and virtual data storage media.</li><li>
Ability to analyze and plan for anticipated changes in data capacity requirement and determine, recommend, and plan the development of a new application or modification of an existing application.</li><li>
Ability to provide recommendations on new database technologies and architectures.</li><li>
Ability to advise higher level leadership on critical data architecture and management issues.</li><li>
Knowledge of cloud computing deployment models in private, public, and hybrid environments and the difference between on-premises and off-premises environments.</li><li>
Knowledge of data operations (DataOps) processes and best practices.</li><li>
Ability to design the best approach and architecture for automated data labeling and data lifecycle.</li><li>
Knowledge of how commercial and federal solutions solve Defense-related data environment and platform challenges.</li><li>
Knowledge of Personally Identifiable Information (PII), National Security System (NSS), and Personal Health Information (PHI) data security standards.</li><li>
Clearance Note:</li><li><ul><li>
Interim Secret Clearance Required: Because of the mission context, candidates must be eligible to obtain an Interim Secret clearance to start. Don't let this deter you if you don't currently hold one&mdash;we support and guide qualified candidates entirely through the clearance process.</li></ul></li></ul>
Job ID: 2026-24601 Work Type: On-Site</div>

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

Valleysoft | Center of Excellence

<div>
 Valleysoft is a regional IT services provider delivering enterprise technology and business process solutions for clients globally. Working across the Information Technology and Services sector, the company supports organizations with the systems, platforms, and data capabilities they need to operate effectively and make better decisions.
 
 
 In this role, you will help shape enterprise data architecture for complex client environments, supporting the design of scalable information assets, stronger governance practices, and more effective use of data across the business. The position plays a central part in connecting architecture, analytics, and operational data needs while partnering closely with technical teams and business stakeholders.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Build the bank enterprise architecture tool and maintain enterprise architecture artifacts
 </li>
 <li>
 Maintain and develop data collection, storage, and transfer systems used by the project team
 </li>
 <li>
 Support the development of advanced data analytics products
 </li>
 <li>
 Define data architecture and select data collection, storage, and analysis technologies
 </li>
 <li>
 Monitor data availability, completeness, and quality, including the integration of internal and external data sources and the use of analytical tools
 </li>
 <li>
 Manage and approve the list of Critical Data Elements (CDEs), including guiding domains on prioritization
 </li>
 <li>
 Lead business and technical metadata management activities
 </li>
 <li>
 Establish, monitor, and enforce business processes and standards for metadata management and compliance
 </li>
 <li>
 Provide technical support to IT teams on data architecture, logical data models, and data strategy across the bank's systems and applications
 </li>
 <li>
 Define and maintain logical data models and information assets
 </li>
 <li>
 Provide templates for structuring business metadata, including business definitions, security and access levels, and data quality rules, as well as technical metadata such as physical data elements and data lineage
 </li>
 <li>
 Approve changes to metadata and manage new metadata demand
 </li>
 <li>
 Approve business definitions and data lineage developed by domains
 </li>
 <li>
 Define metadata standards and ensure compliance
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 Bachelor's degree in Computer Science, Engineering, or Mathematics.
 
 
 Eligible to work in Egypt.
 
 
 Expertise in database systems, including SQL and NoSQL databases such as MongoDB or Cassandra.
 
 
 Strong knowledge of data warehousing solutions such as Snowflake or Amazon Redshift.
 
 
 Experience with data modeling, data architecture design, and schema development.
 
 
 Proficiency in ETL/ELT tools and processes.
 
 
 Familiarity with cloud platforms such as AWS, Azure, or GCP.
 
 
 Knowledge of big data technologies, including Hadoop or Spark.
 
 
 
 Experience
 
 
 
 Minimum of 3 years of experience designing and developing complex, high-quality analytical solutions.
 
 
 3+ years of experience in data platform implementation and data architecture.
 
 
 7+ years of experience in technical and IT roles.
 
 
 Proven experience designing and implementing data architectures.
 
 
 Experience working with data governance, data quality, and data security.
 
 
 Past experience involving data strategy, data integration, and data infrastructure development.
 
 
 Experience working with business domain owners, enterprise architecture teams, IT leadership, and senior banking stakeholders.
 
 
 
 Soft Skills
 
 
 
 Strong analytical and problem-solving skills.
 
 
 Ability to communicate complex data concepts to non-technical stakeholders.
 
 
 Leadership and project management capabilities.
 
 
 Background in banking or financial services is preferred.
 
 
 Familiarity with metadata governance and data lineage is a plus.
 
 
 Familiarity with enterprise architecture tooling is a plus.
 
 
 TOGAF certification or a similar enterprise architecture certification is preferred.
</div>

Datamatics Global Services Ltd

<div><h1 class="jobSectionHeader">CV&rsquo;s that match the JD will be entertained Only 
 
Data Architect 
Location : Onsite &ndash; Riyadh 
Role Duration &ndash; Long Term
</h1>
<h1 class="jobSectionHeader">Role Overview</h1>
The expert will define the enterprise-wide data architecture for a complex, multi-entity organization. The role will translate business and data strategy into a coherent target architecture, common data models, integration patterns, platform capabilities, governance standards and a phased transition roadmap, while enabling interoperability across business units and entities.<h1 class="jobSectionHeader">
Key Responsibilities</h1><ul><li>
Assess the current data landscape across business units and entities, including data sources, platforms, models, flows, integrations, ownership, dependencies and key pain points.</li><li>
Define enterprise data architecture principles, standards and the target-state architecture across data ingestion, integration, storage, processing, sharing, analytics and AI enablement.</li><li>
Develop conceptual and logical enterprise data models, canonical models and common definitions for priority data domains.</li><li>
Define data-domain boundaries, data-product interfaces and interoperability standards for a federated, multi-entity environment.</li><li>
Establish architecture patterns for APIs, event-driven integration, batch exchange and secure data sharing across internal and external ecosystems.</li><li>
Advise on the architecture of data lakehouse or warehouse platforms, master and reference data, metadata catalogues, lineage, data quality, security and privacy controls.</li><li>
Align the data architecture with business capabilities, application architecture, technology strategy and enterprise-wide transformation priorities.</li><li>
Define data architecture governance, decision rights, design-review gates, reusable patterns and exception-management processes.</li><li>
Identify architecture gaps, dependencies and migration priorities, and develop a practical transition roadmap.</li><li>
Facilitate architecture workshops and translate complex technical decisions into clear recommendations for senior stakeholders.</li></ul><h1 class="jobSectionHeader">
Required Experience and Qualifications</h1><ul><li>
15+ years of relevant experience in data architecture, enterprise information architecture, data engineering or large-scale data transformation.</li><li>
Proven experience defining enterprise-wide data architecture for a large, complex organization, conglomerate, public-sector ecosystem or other multi-entity environment.</li><li>
Strong expertise in conceptual and logical data modelling, enterprise data domains, canonical models and data interoperability.</li><li>
Deep understanding of modern data platforms, including cloud or hybrid data architectures, lakehouse or warehouse patterns, data integration and analytics ecosystems.</li><li>
Strong knowledge of data governance, metadata, lineage, master data management, data quality, security and privacy-by-design principles.</li><li>
Experience establishing federated architecture standards and aligning diverse business units and entities around common enterprise patterns.</li><li>
Ability to connect data architecture decisions to business outcomes, operating-model implications, investment requirements and implementation priorities, and communicate them clearly to senior stakeholders</li></ul>
MRYI18gL3i</div>

Senior Data Architect

<div><h1 class="jobSectionHeader">CV&rsquo;s that match the JD will be entertained Only 
 
Data Architect 
Location : Onsite &ndash; Riyadh 
Role Duration &ndash; Long Term
</h1>
<h1 class="jobSectionHeader">Role Overview</h1>
The expert will define the enterprise-wide data architecture for a complex, multi-entity organization. The role will translate business and data strategy into a coherent target architecture, common data models, integration patterns, platform capabilities, governance standards and a phased transition roadmap, while enabling interoperability across business units and entities.<h1 class="jobSectionHeader">
Key Responsibilities</h1><ul><li>
Assess the current data landscape across business units and entities, including data sources, platforms, models, flows, integrations, ownership, dependencies and key pain points.</li><li>
Define enterprise data architecture principles, standards and the target-state architecture across data ingestion, integration, storage, processing, sharing, analytics and AI enablement.</li><li>
Develop conceptual and logical enterprise data models, canonical models and common definitions for priority data domains.</li><li>
Define data-domain boundaries, data-product interfaces and interoperability standards for a federated, multi-entity environment.</li><li>
Establish architecture patterns for APIs, event-driven integration, batch exchange and secure data sharing across internal and external ecosystems.</li><li>
Advise on the architecture of data lakehouse or warehouse platforms, master and reference data, metadata catalogues, lineage, data quality, security and privacy controls.</li><li>
Align the data architecture with business capabilities, application architecture, technology strategy and enterprise-wide transformation priorities.</li><li>
Define data architecture governance, decision rights, design-review gates, reusable patterns and exception-management processes.</li><li>
Identify architecture gaps, dependencies and migration priorities, and develop a practical transition roadmap.</li><li>
Facilitate architecture workshops and translate complex technical decisions into clear recommendations for senior stakeholders.</li></ul><h1 class="jobSectionHeader">
Required Experience and Qualifications</h1><ul><li>
15+ years of relevant experience in data architecture, enterprise information architecture, data engineering or large-scale data transformation.</li><li>
Proven experience defining enterprise-wide data architecture for a large, complex organization, conglomerate, public-sector ecosystem or other multi-entity environment.</li><li>
Strong expertise in conceptual and logical data modelling, enterprise data domains, canonical models and data interoperability.</li><li>
Deep understanding of modern data platforms, including cloud or hybrid data architectures, lakehouse or warehouse patterns, data integration and analytics ecosystems.</li><li>
Strong knowledge of data governance, metadata, lineage, master data management, data quality, security and privacy-by-design principles.</li><li>
Experience establishing federated architecture standards and aligning diverse business units and entities around common enterprise patterns.</li><li>
Ability to connect data architecture decisions to business outcomes, operating-model implications, investment requirements and implementation priorities, and communicate them clearly to senior stakeholders</li></ul>
8hClB9Kwo7</div>

Alchemy

Role: Data Engineer - GCPJob Summary<ul><li>We are seeking a highly skilled Data Engineer with deep expertise in Google Cloud Platform (GCP) and modern data architecture. The ideal candidate will have hands-on experience designing scalable data pipelines, implementing Medallion Architecture, and building robust enterprise-grade data solutions.</li><li>This role requires strong technical proficiency in BigQuery, PySpark, Dataflow, and Airflow, along with a solid understanding of cloud data governance, performance optimization, and CI/CD practices.</li></ul>Key Responsibilities<ul><li>Design, develop, and maintain scalable batch and real-time data pipelines on GCP</li><li>Implement and manage Medallion Architecture (Bronze, Silver, Gold layers) for data processing</li><li>Build high-performance data transformations using Python and PySpark</li><li>Develop and optimize complex SQL queries for analytical workloads</li><li>Work extensively with BigQuery for large-scale data processing and performance tuning</li><li>Develop and deploy pipelines using Cloud Dataflow</li><li>Orchestrate workflows using Cloud Composer (Apache Airflow)</li><li>Manage data storage and lifecycle using Google Cloud Storage (GCS)</li><li>Implement version control and CI/CD pipelines using Git-based tools</li><li>Ensure data security, governance, and access control using GCP IAM</li><li>Optimize data solutions for performance, scalability, reliability, and cost-efficiency</li></ul>Required Skills &amp; Experience<ul><li>Strong hands-on experience with Google Cloud Platform (GCP)</li><li>Expertise in BigQuery (partitioning, clustering, query optimization)</li><li>Proven experience implementing Medallion Data Architecture</li><li>Hands- on Experience with Java Development </li><li>Strong programming skills in Python and PySpark</li><li>Advanced proficiency in SQL (complex joins, window functions, performance tuning)</li><li>Hands-on experience with Cloud Dataflow</li><li>Experience with Cloud Composer (Airflow) for orchestration</li><li>Experience working with Google Cloud Storage (GCS)</li><li>Knowledge of version control systems (Git) and CI/CD practices</li><li>Strong understanding of GCP IAM and cloud security best practices</li></ul>Experience:<ul><li>Google Cloud Platform (GCP): 6 years (Required)</li><li>Medallion Architecture: 6 years (Required)</li><li>Apache Beam / Java Development : 5 years (Required)</li></ul>Work Location: Remote

GCP Data Engineer/Architect

WESTROCK COFFEE

<div><div>You'll be joining a small team rebuilding Westrock Coffee's operating system from the ground up on Palantir Foundry. This isn't a maintain-the-dashboard role-you'll architect core data pipelines, design ontology models, and ship AI-driven applications that change how our company operates.</div>
<div></div><div>Job Duties:</div>
<ul><li>7-10 years of software engineering and development experience</li>
<li>Strong engineering background, preferably in fields such as Computer Science, Mathematics, Engineering, and Data Science</li>
<li>Strong coder with shown proficiency in programming languages such as Python, Java, C++, TypeScript/JavaScript, or similar for data manipulation, scripting, model development, and application building</li>
<li>Strong foundation in Machine Learning basics (Evaluation, Training, Problem Decomposition)</li>
<li>In-office position in Little Rock, Arkansas Headquarters working in a collaborative Foundry Development Center</li>
<li>Experience with Palantir Foundry is a strong plus, but we're equally interested in engineers who learn platforms fast and have built on complex data systems before</li>
</ul>Requirements:
<div>Qualifications:</div>
<ul><li>Collaborate with cross-functional teams to identify requirements to architect and build impactful solutions by developing customer applications</li>
<li>Architect and engineer solutions in Palantir Foundry on the team working toward building out the reimagined Westrock Coffee operating system</li>
<li>Design and implement end-to-end data pipelines and transformation logic with a focus on data health and sustainability</li>
<li>Model objects and relationships in the Enterprise Ontology</li>
<li>Apply machine learning best practices, including feature engineering, model validation, and performance tuning for development and deployment</li>
<li>Utilize Foundry AIP and integrate LLM-based agents to transform workflows</li>
<li>Design and build agent architecture that enables observability, human-in-the-loop verification, and precise context control access</li></ul></div>

Sr. Data AI Engineer

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