[Hiring] Principal Data Architect, Analytics Pipeline @General Dynamics Information Technology

Role Description

Own your opportunity to turn data into measurable outcomes for our customers’ most complex challenges. As a Data Architect Principal at GDIT, you’ll power innovation to drive mission impact and grow your expertise to power your career forward.

This role exists to design the infrastructure that turns new Partner data, as it lands in a multi-billion-record, multi-payer healthcare claims warehouse (the HFPP Trusted Third Party), into automated fraud, waste, and abuse (FWA) alerts.

• Design the architecture for the event-driven pipeline that carries new Partner data from the HFPP warehouse into deployed fraud signals and out to Partner alerts.
• Own sign-off on that architecture and any material change to it.
• Set the standards the pipeline is built to; how it absorbs a spike in Partner data.
• Build the hardest pieces yourself, including proof-of-concept integrations and the trickiest parts of the event-driven design.
• Design within the data-security and PII/PHI constraints set by a separate compliance function.
• Work with Data Science on how an approved fraud signal's logic gets represented in the pipeline.

Qualifications

• Bachelor's degree in computer science, engineering, or a related field, or equivalent hands-on experience.
• 8+ years designing and owning production data architecture, including at least one event-driven or streaming pipeline you built and ran at real scale.
• Deep hands-on experience with AWS and Snowflake, including designing event-driven ingestion patterns that reliably feed a warehouse-native scoring/analytics layer.
• Strong Python and SQL skills.
• Experience designing systems that operate under real data-security/compliance constraints (PII/PHI or comparable sensitive data).
• A track record of setting or reviewing architecture standards other engineers are held to.
• Comfortable working independently in a fully remote environment with sign-off authority and no direct reports.

Requirements

• Experience with healthcare claims data or another highly regulated, high-scrutiny data domain.
• Experience designing alerting/notification systems tied to a customer- or partner-facing portal.
• Experience with fraud or anomaly-detection pipelines specifically, even outside healthcare.
• Experience presenting architecture decisions to a government or compliance reviewer.

Benefits

• Comprehensive benefits and wellness packages.
• 401K with company match.
• Competitive pay and paid time off.
• Full flex work weeks where possible.
• 15 days of paid leave per calendar year for vacations, personal business, and illness.
• 10 paid holidays per year.
• Paid Family Leave program providing up to 160 hours of paid leave in a rolling 12 month period for eligible employees.
• Short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance.