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Data Architect

Job in Virginia, St. Louis County, Minnesota, 55792, USA
Listing for: Jobtailor
Full Time position
Listed on 2026-07-20
Job specializations:
  • IT/Tech
    Data Engineering, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 140000 - 210000 USD Yearly USD 140000.00 210000.00 YEAR
Job Description & How to Apply Below

Responsibilities

  • Lead the end‑to‑end design of data architectures supporting analytics, AI/ML, and operational reporting
  • Define logical and physical data models, ingestion patterns, transformation layers, and consumption frameworks
  • Architect solutions for large‑scale structured and semi‑structured datasets, including federal financial and operational data
  • Design secure, scalable data platforms leveraging Databricks (Spark, Delta Lake) and Palantir Foundry
  • Establish architecture standards for data integration, metadata, lineage, and data quality
  • Ensure architectures align with federal security, compliance, and data governance requirements
  • Partner with AI/ML, MLOps, and analytics teams to enable production‑grade model development and deployment
  • Guide implementation teams through complex architectural decisions and trade‑offs
  • Support system design reviews, technical documentation, and government architecture forums
  • Mentor junior architects and engineers while providing technical leadership across engagements
Requirements
  • An ACTIVE and MAINTAINED 'SECRET' Federal or DoD security clearance.
  • Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related technical field
  • FIVE (5) or more years of experience in data architecture, data engineering, or enterprise analytics roles
  • Hands‑on experience with Databricks (Spark, Delta Lake, performance optimization, production architectures)
  • Hands‑on experience with Palantir Foundry, including data pipelines, ontology, and analytics enablement
  • Strong experience designing enterprise data architectures supporting analytics and AI/ML workloads
  • Experience with SQL and distributed data processing frameworks
  • Experience integrating multiple data sources and managing complex data pipelines
Certifications & Qualifications
  • SECRET Federal security clearance
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