Remote Data Architect Principal – AWS/Snowflake Pipelines

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

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