Aptive Resources Logo

Aptive Resources

Senior Data Architect

Posted One Month Ago
Remote
Hiring Remotely in US
Senior level
Remote
Hiring Remotely in US
Senior level
Designs and governs enterprise data architecture supporting VHA EHR modernization, reporting, analytics, clinical systems, and data integration. Responsibilities include data modeling, governance, metadata and lineage management, APIs, ETL, interoperability, data quality, cloud infrastructure, performance optimization, and stakeholder collaboration. The role also leads architectural enhancements through Agile processes and evaluates emerging data technologies.
The summary above was generated by AI
Job Summary

Aptive is seeking a highly experienced and strategic Data Architect to support the Veterans Health Administration (VHA) in advancing operational performance, healthcare delivery, and digital transformation efforts under the Electronic Health Record Modernization (EHRM) program. This role will be instrumental in designing, developing, and governing the data architecture that supports analytics platforms, clinical systems, and enterprise reporting for different VHA initiatives.


Working closely with the Reporting and Analysis team as well as the Tooling Team (PowerBi, PowerApps, ServiceNow, etc.), the Data Architect will serve as the lead for designing scalable, secure, and sustainable data solutions. The architect will ensure alignment between business goals and technical infrastructure, facilitate data interoperability across different VHA systems, and provide stewardship over data architecture standards and best practices.

Primary Responsibilities
  • Design and maintain enterprise data architecture to support EHRM reporting platforms, data integration pipelines, and analytical tools.
  • Develop and maintain logical and physical data models, ensuring scalability, consistency, and alignment with VHA standards.
  • Define and enforce data governance practices including metadata management, data lineage, and master data management strategies.
  • Collaborate with data scientists, developers, and analysts to ensure consistent data availability, quality, and structure for analytics and decision-making.
  • Establish and lead data integration frameworks, including APIs, ETL processes, and interoperability standards across multiple systems (e.g., clinical, operational, performance).
  • Partner with technical and functional stakeholders to translate business requirements into sound data design strategies.
  • Define and oversee data quality and integrity frameworks, including data validation rules and automated checks across the data lifecycle.
  • Participate in sprint planning, backlog grooming, and Agile ceremonies to prioritize and deliver architectural enhancements.
  • Evaluate and recommend new technologies, platforms, or methods that enhance data architecture and overall performance.
Minimum Qualifications
  • Bachelor's or master's degree in computer science, Data Engineering, Information Systems, or a related technical field.
  • 10+ years of relevant experience in data architecture, data engineering, or enterprise data systems.
  • Proven experience with data modeling, enterprise data warehousing, and cloud-based data infrastructure (e.g., Azure, AWS, GCP).
  • Deep knowledge of data governance, metadata management, and data lineage frameworks.
  • Proficiency in database technologies (e.g., SQL Server, PostgreSQL, Oracle) and modern data platforms.
  • Demonstrated experience designing data architecture with compute performance in mind, including the ability to manage and optimize compute resources and operationalize scalable data processing solutions.
  • Experience in designing or supporting business intelligence environments.
  • Ability to convey complex technical solutions to diverse stakeholders, including executive and non-technical audiences.
  • Advanced proficiency with Microsoft Office tools and collaboration platforms.
  • Experience in fast-paced environments requiring high attention to detail.
  • Ability to obtain and maintain public trust clearance.
Desired Qualifications
  • Familiarity with VHA data systems, clinical workflows, and Veteran populations.
  • TOGAF or equivalent (e.g., FEAC, Certified Data Management Professional, etc.) enterprise architecture certification.
  • Experience in development in ServiceNow (SNOW).
  • Demonstrated success supporting large-scale federal programs; VHA or DoD experience strongly preferred.
  • Hands-on experience with data virtualization, real-time data integration, and analytics pipelines.
  • Experience leading data modernization initiatives in federal healthcare environments.
  • Strong organizational and documentation skills with an ability to work across cross-functional teams.
  • Consulting experience.
  • Experience in fast-paced environments requiring high attention to detail.
About Aptive

Aptive partners with federal agencies to achieve their missions through improved performance, streamlined operations and enhanced service delivery. Based in Alexandria, Virginia, we support more than a dozen agencies including Veterans Affairs, Transportation, Defense, Homeland Security and the National Science Foundation. ​


We specialize in applying technology, creativity and human-centered services to optimize mission delivery and improve experiences for millions of people who count on government services every day. ​


Founded: 2012Employees: 300+ nationwide

EEO Statement

Aptive is an equal opportunity employer. We consider all qualified applicants for employment without regard to race, color, national origin, religion, creed, sex, sexual orientation, gender identity, marital status, parental status, veteran status, age, disability, or any other protected class.


Veterans, members of the Reserve and National Guard, and transitioning active-duty service members are highly encouraged to apply.

Similar Jobs

4 Days Ago
Remote
USA
165K-195K Annually
Senior level
165K-195K Annually
Senior level
Professional Services
Designs, builds, and operates the company’s Microsoft Fabric data platform and lakehouse architecture. Responsibilities include platform architecture, data ingestion and transformation pipelines, governance, security, metadata, lineage, CI/CD, deployment management, and performance optimization. The role enables reliable datasets for Power BI, reporting, analytics, and future AI initiatives while expanding enterprise data capabilities and transitioning platform ownership in-house.
Top Skills: Ci/CdCRMDynamics 365 Finance & OperationsLakehouseMicrosoft FabricPower BI
5 Days Ago
Remote
United States
155K-160K Annually
Senior level
155K-160K Annually
Senior level
Healthtech
Designs and advances enterprise data and AI architectures, including cloud platforms, data warehouses, lakehouses, machine learning, generative AI, integrations, and governance. Leads architecture standards, technical evaluations, proofs of concept, design reviews, troubleshooting, and implementation with engineering teams. Establishes data lineage, metadata, model governance, security, privacy, and compliance frameworks while advising executives on roadmaps, risks, trade-offs, and technology investments.
Top Skills: AzureAzure OpenaiCi/CdClaude EnterpriseCortexDatabricksDevOpsInformatica IdmcKnowledge GraphsMicrosoft FabricMlopsOpenaiPower BIPythonSnowflakeSQLVector Databases
5 Days Ago
Remote
US
108K-195K Annually
Senior level
108K-195K Annually
Senior level
Information Technology • Software
Designs and implements enterprise cloud data architectures supporting analytics, geospatial visualization, data integration, migration, governance, and high-performance querying. Develops conceptual, logical, and physical data models, data lakes, data marts, OLAP solutions, reusable SQL metrics, and Gold-layer structures using Azure services and SQL Managed Instance. Advises clients and business leaders, aligns technical decisions with enterprise roadmaps, leads data modernization efforts, and optimizes performance, scalability, and cost.
Top Skills: .NetAgileAWSAzure Analysis ServicesAzure Data LakeAzure DevopsAzure SqlAzure SynapseCi/CdDelta LakeMedallion ArchitectureAzureMicrosoft Sql ServerNoSQLOlapPythonScaled Agile Framework (Safe)SparkSQLSql Managed InstanceSql Server Analysis Services (Ssas)

What you need to know about the Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

  • Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
  • Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
  • Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
  • Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account