Senior Data Architect – Analytics Pipeline (Remote)

General Dynamics Information Technology, Inc.; United States; Remote; USD 136,000 - 184,000; Full time

Job summary

General Dynamics Information Technology is seeking a Data Architect Principal to design and own the event-driven data pipeline for healthcare claims analytics. You will drive architecture decisions, collaborate with Data Science and Compliance, and deliver scalable, secure ingestion into a Fraud/Analytics layer.

You will implement standards for handling PII/PHI, ensure reliability at scale, and mentor a Data Engineer while maintaining remote work flexibility.

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, enough to build the pieces you design yourself rather than only diagram them.
• Experience designing systems that operate under real data-security/compliance constraints (PII/PHI or comparable sensitive data), working with a separate security function rather than owning that policy.
• A track record of setting or reviewing architecture standards other engineers are held to, including saying no to a design that misses the bar.
• Comfortable working independently in a fully remote environment with sign-off authority and no direct reports.

Responsibilities

• 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: the data flow, the integration points with the warehouse and the HFPP Portal's analytics extension, and the AWS and Snowflake choices that hold it together.
• Own sign-off on that architecture and any material change to it. If a new signal's requirements would strain the design, that decision runs through you.
• Set the standards the pipeline is built to; how it absorbs a spike in Partner data, what happens when a signal's scoring job fails partway through, how a new signal gets onboarded without destabilizing the ones already live.
• Build the hardest pieces yourself. Proof-of-concept integrations, the trickiest parts of the event-driven design, anything you don't want to hand off until the pattern's actually proven. This isn't a paper-architecture role.
• Design within the data-security and PII/PHI constraints a separate compliance function sets for this claims data.
• Work with Data Science on how an approved fraud signal's logic gets represented in the pipeline, and track the government review and approval cadence closely enough that the architecture can absorb new signals on schedule.

Skills

Data Flows

Design

ETL Architecture

Leadership

System Designs

Education

Bachelor's degree in computer science/engineering or related field

Tools

AWS

Snowflake

Python

SQL

Job description

General Dynamics Information Technology is seeking a Data Architect Principal to design and own the event-driven data pipeline for healthcare claims analytics. You will drive architecture decisions, collaborate with Data Science and Compliance, and deliver scalable, secure ingestion into a Fraud/Analytics layer.

You will implement standards for handling PII/PHI, ensure reliability at scale, and mentor a Data Engineer while maintaining remote work flexibility.