Data Architect Jobs in Virginia
Data Architect jobs in Virginia are among the most active in the country, concentrated in federal contracting, defense, financial services, and cloud infrastructure across a seniority range from entry-level data engineer to principal architect. Northern Virginia, Richmond, and the Hampton Roads corridor are the primary hiring hubs, with established employers such as Booz Allen Hamilton, Leidos, and Capital One driving consistent demand. The most sought-after specializations are cloud data architecture on AWS and Azure, enterprise data governance, and real-time analytics pipeline design. Find a role that fits below and apply directly.
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Showing 5 of 83+ Data Architect jobs
Deloitte helps navigate this complexity by bringing deep industry insights and integrated solutions to achieve business objectives. From strategy to technology to operations, and across workforce, risk, assurance, and tax, Deloitte helps drive value along the Finance Transformation journey.
Recruiting for this role ends on 09/30/2026
Work you'll do
As a Finance Data & AI Manager specializing in Microsoft Azure and Fabric, you'll lead teams that design end-to-end solutions from source integration and OneLake through trusted data products, AI, and Power BI. You will guide architecture from strategy through production.
- Lead engagements or workstreams that define end-to-end Azure and Fabric architectures across integration, OneLake, lakehouse/warehouse, security, AI, and finance consumption
- Guide batch, streaming, mirroring, and orchestration design with Fabric Data Factory, Data Engineering, Spark, Data Warehouse, and Real-Time Intelligence
- Establish governance, lineage, Entra-based access, data quality, observability, service-level objectives, and remediation with Microsoft Purview
- Define reusable finance data products, canonical models, OneLake sharing, APIs, and governed semantic models for planning, close, profitability, treasury, and reporting
- Architect production ML and generative and agentic AI with Fabric Data Science and Azure AI services, MLOps and LLMOps, evaluation, monitoring, and responsible AI
- Manage client relationships, estimates, design reviews, deployment, capacity and cost outcomes; mentor teams and support demonstrations, proposals, and RFP responses
- Agentic Redesign of Finance data and processes such as planning, forecasting, close, profitability, treasury, or reporting
A successful candidate would possess these skills:
? Ability to work independently and collaborate as part of a team
? Ability to translate finance outcomes into clear architecture decisions
? Effective written, verbal, and executive communication skills
? Meticulous attention to detail and quality of work product
? Ability to build and sustain professional relationships
? Ability to lead projects or workstreams
? Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
? Ability to meet deadlines
? Ability to mentor and provide clear guidance to others
The team
Deloitte's Finance Transformation offering helps finance and global business services leaders navigate an increasingly challenging environment marked by disruptive tech like AI, market uncertainty, and regulatory change, and recognize the opportunity to better serve the enterprise, shareholders, customers, and regulators.
Within the Finance Transformation offering, our Business Finance team drives strategic value through planning, forecasting, and analytics. We design trusted finance data products, modern platforms, and AI-enabled solutions that deliver timely, actionable insights.
Qualifications
Required:
- 6+ years of experience architecting enterprise data, analytics, or AI solutions in a corporate or consulting environment
- 4+ years of experience designing Azure or Fabric solutions across data engineering, lakehouse/warehouse, security, performance, and multi-environment deployment
- 4+ years of experience with finance data and processes such as planning, forecasting, close, profitability, treasury, or reporting
- Bachelor's degree in Computer Science, Data Science, Information Systems, Finance, Accounting, Engineering, Mathematics, or a related field
- Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
- Limited immigration sponsorship may be available.
Preferred:
- Experience with OneLake, Lakehouse, Data Warehouse, Data Factory, Data Engineering, Real-Time Intelligence, Direct Lake, Power BI, and Purview
- Experience with data quality, observability, lineage, testing, CI/CD, infrastructure as code, and capacity/cost optimization
- Experience deploying ML, retrieval-augmented generation, or agentic AI with Azure AI or Fabric Data Science and responsible AI controls
- Experience integrating SAP, Oracle, Workday, Anaplan, or OneStream and building governed Power BI semantic models, DAX measures, and reports
- Microsoft certification in Azure architecture, Fabric, or Power BI; or a master's degree in a related field
- 2+ years of experience supporting pre-sales, proposals, RFP responses, and mentoring data and AI delivery teams
Deloitte helps navigate this complexity by bringing deep industry insights and integrated solutions to achieve business objectives. From strategy to technology to operations, and across workforce, risk, assurance, and tax, Deloitte helps drive value along the Finance Transformation journey.
Recruiting for this role ends on 09/30/2026
Work you'll do
As a Finance Data & AI Manager specializing in Microsoft Azure and Fabric, you'll lead teams that design end-to-end solutions from source integration and OneLake through trusted data products, AI, and Power BI. You will guide architecture from strategy through production.
- Lead engagements or workstreams that define end-to-end Azure and Fabric architectures across integration, OneLake, lakehouse/warehouse, security, AI, and finance consumption
- Guide batch, streaming, mirroring, and orchestration design with Fabric Data Factory, Data Engineering, Spark, Data Warehouse, and Real-Time Intelligence
- Establish governance, lineage, Entra-based access, data quality, observability, service-level objectives, and remediation with Microsoft Purview
- Define reusable finance data products, canonical models, OneLake sharing, APIs, and governed semantic models for planning, close, profitability, treasury, and reporting
- Architect production ML and generative and agentic AI with Fabric Data Science and Azure AI services, MLOps and LLMOps, evaluation, monitoring, and responsible AI
- Manage client relationships, estimates, design reviews, deployment, capacity and cost outcomes; mentor teams and support demonstrations, proposals, and RFP responses
- Agentic Redesign of Finance data and processes such as planning, forecasting, close, profitability, treasury, or reporting
A successful candidate would possess these skills:
? Ability to work independently and collaborate as part of a team
? Ability to translate finance outcomes into clear architecture decisions
? Effective written, verbal, and executive communication skills
? Meticulous attention to detail and quality of work product
? Ability to build and sustain professional relationships
? Ability to lead projects or workstreams
? Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
? Ability to meet deadlines
? Ability to mentor and provide clear guidance to others
The team
Deloitte's Finance Transformation offering helps finance and global business services leaders navigate an increasingly challenging environment marked by disruptive tech like AI, market uncertainty, and regulatory change, and recognize the opportunity to better serve the enterprise, shareholders, customers, and regulators.
Within the Finance Transformation offering, our Business Finance team drives strategic value through planning, forecasting, and analytics. We design trusted finance data products, modern platforms, and AI-enabled solutions that deliver timely, actionable insights.
Qualifications
Required:
- 6+ years of experience architecting enterprise data, analytics, or AI solutions in a corporate or consulting environment
- 4+ years of experience designing Azure or Fabric solutions across data engineering, lakehouse/warehouse, security, performance, and multi-environment deployment
- 4+ years of experience with finance data and processes such as planning, forecasting, close, profitability, treasury, or reporting
- Bachelor's degree in Computer Science, Data Science, Information Systems, Finance, Accounting, Engineering, Mathematics, or a related field
- Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
- Limited immigration sponsorship may be available.
Preferred:
- Experience with OneLake, Lakehouse, Data Warehouse, Data Factory, Data Engineering, Real-Time Intelligence, Direct Lake, Power BI, and Purview
- Experience with data quality, observability, lineage, testing, CI/CD, infrastructure as code, and capacity/cost optimization
- Experience deploying ML, retrieval-augmented generation, or agentic AI with Azure AI or Fabric Data Science and responsible AI controls
- Experience integrating SAP, Oracle, Workday, Anaplan, or OneStream and building governed Power BI semantic models, DAX measures, and reports
- Microsoft certification in Azure architecture, Fabric, or Power BI; or a master's degree in a related field
- 2+ years of experience supporting pre-sales, proposals, RFP responses, and mentoring data and AI delivery teams
See All 83 Data Architect Jobs in Virginia
Find roles in Virginia that match your experience and apply in just a few clicks.
Find Data Architect JobsData Architect Jobs by City in Virginia
Where Virginia roles are concentrated, by current openings.
Data Architect Job Market in Virginia
A snapshot from current Virginia openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Consulting & Professional Services
What Virginia Employers Look For
The qualifications that appear most often in data architect jobs across Virginia.
- Bachelor's or master's degree in computer science, information systems, or a related field
- Hands-on experience designing enterprise data models, warehouses, or lakehouse architectures
- Proficiency with cloud platforms such as AWS, Microsoft Azure, or Google Cloud
- Experience with SQL, NoSQL databases, and ETL or ELT pipeline tools
- Familiarity with data governance frameworks and metadata management practices
- Strong communication skills to translate technical architecture decisions for business stakeholders
Data Architect Jobs in Virginia: Frequently Asked Questions
How do you become a data architect in Virginia?
Virginia does not require a state-issued license to work as a data architect, so the path runs through education and industry credentials. Most Virginia employers expect at least a bachelor's degree in computer science, information systems, or a related field, and many prefer a master's. Vendor certifications such as AWS Certified Data Analytics, Microsoft Certified Azure Data Engineer, or Google Professional Data Engineer carry significant weight with the federal contractors and financial firms that dominate Virginia hiring.
Which companies hire data architects in Virginia?
Employers hiring data architects in Virginia right now include Amazon Web Services, Peraton, and Booz Allen Hamilton, based on current listings on Migrate Mate as of September 2026. Virginia's dense concentration of federal contractors and financial technology firms means data architect roles here frequently require experience with government cloud environments or regulated financial data.
Which Virginia cities have the most data architect jobs?
McLean, Arlington, and Reston account for the largest share of data architect openings in Virginia. Northern Virginia dominates because it hosts the country's largest data center corridor and a massive cluster of federal agencies and defense contractors, while Richmond draws demand from financial services firms and state government technology modernization projects, and Hampton Roads adds openings tied to Navy and Department of Defense IT programs.
Are there remote data architect jobs in Virginia?
Yes, and more than most fields. About 59% of data architect openings tied to Virginia are remote or hybrid as of September 2026, reflecting the fact that architecture work is largely design, documentation, and stakeholder collaboration that transfers well to distributed settings. The most fully remote roles tend to be with commercial cloud and SaaS companies, while federal contractor positions in Virginia more often require on-site or hybrid arrangements due to security clearance requirements.
How can I get hired as a data architect in Virginia with little or no experience?
The most realistic entry point is a junior data engineer or database developer role, which gives you hands-on exposure to the pipeline and modeling work that data architects oversee. Large Virginia-based federal contractors such as Booz Allen Hamilton and Leidos run associate and entry-level analyst programs that recruit candidates directly from Virginia's universities. Building a portfolio of data modeling projects using publicly available datasets, earning a cloud certification on AWS or Azure, and targeting Virginia state agency IT modernization contracts, which often hire junior talent, can all accelerate the transition into an architecture role.
Where can I find and apply to data architect jobs in Virginia?
You can find and apply to data architect jobs in Virginia on Migrate Mate, which lists current Virginia openings updated regularly. Find the roles that fit your experience and apply directly to the employers posting them.
See All 83 Data Architect Jobs in Virginia
Find roles in Virginia that match your experience and apply in just a few clicks.
Find Data Architect Jobs