Data Architect
Akima Systems Engineering
Herndon, VA · Posted October 5, 2026
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Where Herndon, VA ranks
Where Herndon, VA placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #2Best cities for pay after cost of living in Virginia$161k · of 15
- #3Best cities for pay after cost of living in the Southeast$161k · of 33
- #3Best all-round cities for AI careers in the Mid-Atlantic86 / 100 · of 37
- #4Best cities for pay after cost of living in the Mid-Atlantic$161k · of 37
- #4Best cities for software and engineering jobs in the Mid-Atlantic441 openings · of 68
- #4Best all-round cities for mid-career professionals in the Mid-Atlantic76 / 100 · of 37
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- Best cities for data and analytics jobs #1 New York (1,713 openings)
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- Employers with the most data and analytics jobs #1 Amazon (711 roles)
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How AI is used in this kind of work
Among database architects, AI is already used for a large share of the tasks. Measured exposure for database architects: 58% (high).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
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About the job
Suvi Global Services is looking for a talented Data Architect to design and govern the data foundation that powers analytics, reporting and product decision across multiple government contracts. This position will define how data is modeled, stored, integrated, and secured, and partner closely with engineering, analytics, and business teams to turn strategy into scalable, reliable systems. This role also supports various projects as required. To join our team of outstanding professionals, apply today!
This is a hybrid role with approximately 50% on-site work. Candidates must be located within a commutable distance to Herndon, VA.
Responsibilities
Design and maintain the enterprise data architecture, including conceptual, logical, and physical data models.
Define standards for data integration, pipelines, storage, and metadata across cloud and on-prem systems.
Lead the design of data warehouses, data lakes, or lake house platforms that support BI, analytics, and ML use cases.
Establish data governance practices covering quality, lineage, security, privacy, and access controls
Evaluate and recommend tools, platforms, and technologies that fit long-term business needs.
Partner with data engineers to review designs, guide implementation, and resolve architectural issues.
Translate business requirements into data solutions and communicate trade-offs to technical and non-technical stakeholders.
Ensure compliance with relevant regulations per government contract.
Qualifications
Active TS/SCI Required.
Bachelor’s degree in Computer Science, Information systems, or related field.
7+ years of experience in data engineering, database design, or data architecture, with at least 3 years in an architect role.
Proven experience on enterprise architecting data platforms at petabyte scale, with at least 1 PB of managed storage across warehouse, lake, or Lakehouse environments.
Demonstrated ability to design for high complexity, including integration of 20+ data sources/streams and data models spanning 500+ entities or tables.
Deep expertise in data modeling (dimensional, relational, and NoSQL approaches)
Strong SQL skills and hands-on experience with at least one cloud platform
Experience with modern data platforms such as [Snowflake, Databricks, BigQuery, Redshift]
Familiarity with ETL/ELT and orchestration tools such as [dbt, Airflow, Fivetran, informatica]
Solid understanding of data governance, security, and master data management.
Excellent communication skills and the ability to influence without direct authority.
Desired Qualifications:
Experience with streaming technologies such as Kafka, Kinesis.
Exposure to supporting ML/AI workloads and feature stores.
Certification in AWS Data Analytics, Azure Data Engineer or CDMP.
Any clearance requirements for this position are established by the government contract.
Job ID
2026-26113 Work Type
Hybrid Pay Range
$225,000 - $235,000 Benefits
Regular - The company offers a comprehensive benefits program, including medical, dental, vision, life insurance, 401(k) and a range of other voluntary benefits. Paid Time Off (PTO) is offered to regular full-time and part-time employees. Company Description
Work Where it Matters
Suvi, an Akima company, is not just another federal mission services 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 Suvi, the work you do every day makes a difference in the lives of our 15,000 Iñupiat shareholders, a group of Alaska natives from one of the most remote and harshest environments in the United States.
For our shareholders , Suvi 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 , Suvi delivers subject matter experts, an agile management approach, and innovative technologies that accomplish customers’ missions safely, securely, and efficiently.
As a Suvi 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.
Design and maintain the enterprise data architecture, including conceptual, logical, and physical data models.
Define standards for data integration, pipelines, storage, and metadata across cloud and on-prem systems.
Lead the design of data warehouses, data lakes, or lake house platforms that support BI, analytics, and ML use cases.
Establish data governance practices covering quality, lineage, security, privacy, and access controls
Evaluate and recommend tools, platforms, and technologies that fit long-term business needs.
Partner with data engineers to review designs, guide implementation, and resolve architectural issues.
Translate business requirements into data solutions and communicate trade-offs to technical and non-technical stakeholders.
Ensure compliance with relevant regulations per government contract.
Active TS/SCI Required.
Bachelor’s degree in Computer Science, Information systems, or related field.
7+ years of experience in data engineering, database design, or data architecture, with at least 3 years in an architect role.
Proven experience on enterprise architecting data platforms at petabyte scale, with at least 1 PB of managed storage across warehouse, lake, or Lakehouse environments.
Demonstrated ability to design for high complexity, including integration of 20+ data sources/streams and data models spanning 500+ entities or tables.
Deep expertise in data modeling (dimensional, relational, and NoSQL approaches)
Strong SQL skills and hands-on experience with at least one cloud platform
Experience with modern data platforms such as [Snowflake, Databricks, BigQuery, Redshift]
Familiarity with ETL/ELT and orchestration tools such as [dbt, Airflow, Fivetran, informatica]
Solid understanding of data governance, security, and master data management.
Excellent communication skills and the ability to influence without direct authority.
Desired Qualifications:
Experience with streaming technologies such as Kafka, Kinesis.
Exposure to supporting ML/AI workloads and feature stores.
Certification in AWS Data Analytics, Azure Data Engineer or CDMP.
Any clearance requirements for this position are established by the government contract.