Data Architect - Intel

General Dynamics Information TechnologyChantilly, VA
Onsite

About The Position

Own your opportunity to turn data into measurable outcomes for our customers’ most complex challenges. As a Data Architect Sr Principal at GDIT, you’ll power innovation to drive mission impact and grow your expertise to power your career forward. We’re seeking a Data Architect to design and deliver modern, scalable data platforms and models that support enterprise analytics and decision‑making.

Requirements

  • Bachelor of Arts/Bachelor of Science or equivalent
  • 10+ years of related experience
  • Active TS/SCI with poly security clearance
  • US citizenship required
  • 10+ years in data engineering, BI, or analytics
  • 5+ years designing enterprise data architectures (warehouse, lake, or lakehouse)
  • Delivered 3+ production cloud data platforms on AWS, Azure, or GCP, covering security, networking, cost optimization, and DR aligned to RPO/RTO targets.
  • Strong data modeling experience: built 10+ enterprise models (conceptual, logical, physical), including dimensional (star/snowflake) and normalized/Data Vault designs.
  • Delivered and maintained 25+ production data pipelines (batch or streaming) with automated quality checks, lineage, and orchestration tools such as Airflow, ADF, Glue, or Dagster, meeting defined freshness/latency SLAs.
  • Hands-on experience with data governance: catalogs, glossaries, classification, retention, RBAC/ABAC, and compliance with frameworks like GDPR, HIPAA, PCI, or SOX.

Nice To Haves

  • Experience with cloud-native data management platforms.
  • Experience leading data management or analytics teams.
  • Certification in relevant data science or analytics methodologies.

Responsibilities

  • Design and deliver modern, scalable data platforms and models that support enterprise analytics and decision-making.
  • Deliver production cloud data platforms on AWS, Azure, or GCP, covering security, networking, cost optimization, and DR aligned to RPO/RTO targets.
  • Build enterprise data models (conceptual, logical, physical), including dimensional (star/snowflake) and normalized/Data Vault designs.
  • Deliver and maintain production data pipelines (batch or streaming) with automated quality checks, lineage, and orchestration tools such as Airflow, ADF, Glue, or Dagster, meeting defined freshness/latency SLAs.
  • Implement and maintain data governance practices including catalogs, glossaries, classification, retention, RBAC/ABAC, and compliance with frameworks like GDPR, HIPAA, PCI, or SOX.

Benefits

  • Comprehensive benefits and wellness packages
  • 401K with company match
  • Competitive pay
  • Paid time off
  • Variety of medical plan options
  • Dental plan options
  • Vision plan
  • Ability to contribute both pre and post-tax dollars to 401(k)
  • Full flex work weeks where possible
  • Variety of paid time off plans, including vacation, sick and personal time, holidays
  • Paid parental, military, bereavement and jury duty leave
  • Short and long-term disability benefits
  • Life insurance
  • Accidental death and dismemberment insurance
  • Personal accident insurance
  • Critical illness insurance
  • Business travel and accident insurance
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