Data Architect Principal, Analytics Pipeline (FWA)

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

Job summary

General Dynamics Information Technology, Inc. is seeking a Data Architect Principal to design and own the data pipeline architecture for a multi-payer healthcare claims environment.

You will drive event-driven ingestion, signaling, and dashboards while ensuring PII/PHI protections and governance. You will independently define standards, lead architecture decisions, and hands-on implement the most challenging components, collaborating with Data Science and Security teams in a remote-friendly

Qualifications

• 8+ years designing and owning production data architecture.
• Experience with event-driven or streaming pipelines at scale.
• Strong AWS and Snowflake expertise, especially ingestion patterns.
• Proficient in Python and SQL for building components.
• Experience with data security/compliance constraints (PII/PHI).
• History of setting architecture standards and guarding quality.

Responsibilities

• Design the event-driven pipeline architecture from HFPP warehouse to analytics layer.
• Own sign-off on architecture and manage changes without destabilizing live signals.
• Build the hardest parts of the data platform and collaborate with Data Engineer.
• Ensure compliance constraints and data-security policies are upheld.
• Collaborate with Data Science to map fraud signal logic into the pipeline.

Skills

Data flows

Design

ETL architecture

Leadership

System designs

AWS

Snowflake

Python

SQL

Data security/compliance

Education

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

Tools

AWS

Snowflake

Job description

Type of Requisition

Regular Clearance Level Must Currently Possess: None Clearance Level Must Be Able to Obtain: None Public Trust/Other Required: None Job Family: Data Science and Data Engineering Job Qualifications: Skills: Data Flows, Design, ETL Architecture, Leadership, System Designs Certifications: None Experience: 8 + years of related experience US Citizenship Required: No

Job 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. You'll own the technical standards that infrastructure gets built and extended against, with real sign-off on the pipeline's architecture and technology choices, and you'll build the hardest parts of it yourself while working alongside a Data Engineer responsible for building and monitoring this pipeline. Fraud-signal methodology stays with Data Science, and PII/PHI handling policy stays with a separate compliance function; your sign-off covers the pipeline architecture itself. You'll report through the analytic leadership and work alongside several technical and investigative teams. HOW A DATA ARCHITECT PRINICPAL WILL MAKE AN IMPACT: 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.

WHAT YOU'LL NEED TO SUCCEED

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.

DESIRED QUALIFICATIONS AND EXPERIENCE

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, such as a contracting officer’s representative or an auditor.

GDIT IS YOUR PLACE

At GDIT, the mission is our purpose, and our people are at the center of everything we do. Growth: AI‑powered career tool that identifies career steps and learning opportunities. Support: An internal mobility team focused on helping you achieve your career goals. Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off. Community: Award‑winning culture of innovation and a military‑friendly workplace.

OWN YOUR OPPORTUNITY

Explore a career in data science and engineering at GDIT and you’ll find endless opportunities to grow alongside colleagues who share your determination for solving complex data challenges. The likely salary range for this position is $136,000 - $184,000. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

SCHEDULED WEEKLY HOURS

Scheduled Weekly Hours: 40 Travel Required: Less than 10% Telecommuting Options: Remote Work Location: Any Location / Remote Additional Work Locations:

TOTAL REWARDS AT GDIT

Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post‑tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee’s date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. To ensure our employees are able to protect their income, other offerings such as short and long‑term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.

IDENTITY VERIFICATION PROCESS

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.

ABOUT OUR WORK

We are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide, offering leading mission‑ready capabilities in AI, cloud, cyber and software development.

EQUAL OPPORTUNITY EMPLOYER

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans Opportunity Owned From working with technologies like AI, cyber and cloud to careers in intelligence and health, we offer endless opportunities to apply your expertise to create a safer, smarter world.