Data Architect
Compensation
$150k – $250k /yr
Employment type
Full-time
Work setting
On-site
Location
McLean, VA
Schedule
Day shift
Posted
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Job overview
The Data Architect role is onsite in McLean, VA, with a stated annual pay range of $150,000–$250,000. The role supports a customer project spanning data acquisition, exploitation, engineering, and management, alongside software, security, DevOps, application development, data science, and program management teams. The architect designs and supports data systems and processing workflows, including cloud infrastructure and ETL pipelines, to help the customer manage and exploit data. The role requires active TS/SCI with Polygraph clearance and collaboration across customer, contractor, and external stakeholder groups.
What you'll do
- Support data engineering and operations
- work with cloud infrastructure and data management
- build and execute ETL pipelines
- conduct data processing
- integrate data flows with industry-standard systems
- collaborate across organizational boundaries and communicate with technical and non-technical audiences.
What we're looking for
- Skills & competencies
- data architectmclean vagrvty$150k–$250kts/scipolygraphdata engineeringawsetl pipelinespythonhadoopsparksqldata processing
- Work arrangement
- Weekend coverage required
Benefits & perks
- Healthcare coverage
- financial wellness and retirement planning
- family assistance
- continued education
- paid time off and holidays
- paid parental leave
- 401(k) match
- training and development opportunities
- award programs
- company-sponsored events.
Why this role
Active TS/SCI with Polygraph clearance required; experience with AWS, HDFS, Cloudera, Spark, Presto, SQL, NoSQL, and Python. LLMs, agentic workflows, and Neo4J are listed as nice to have.
About the employer
GRVTY is hiring for this role. Industry: Computer Facilities Management Services. Sector: 54.
Additional details
- Industry sector
- 54
- Industry
- Computer Facilities Management Services
- Occupation code
- 15-1243.00
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Listing ID: 1d3d39f8-acec-4533-8f68-bf5ac7612681