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General Dynamics Information Technology

Lead Snowflake Data Warehouse Architect

General Dynamics Information Technology

. Own the opportunity as a Snowflake Data Warehouse Architect and help ensure the mission is never interrupted.

Posted 4/21/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $170,000 - $230,000 per yearWebsite

Tech Stack

Tools & technologies
AWSCloudETLPySparkPythonSQL

About the role

Key responsibilities & impact
  • Own the opportunity as a Snowflake Data Warehouse Architect and help ensure the mission is never interrupted.
  • Guide the design, architecture, and technical strategy for our enterprise cloud data environment.
  • Shape the architecture supporting complex data ecosystems.
  • Provide leadership across engineering workstreams.
  • Ensure the platform evolves in a scalable, secure, and high‑performing direction.
  • Architect enterprise‑level Snowflake data warehouse solutions.
  • Provide technical leadership across multiple teams.
  • Define data architecture patterns, standards, and best practices.
  • Lead design decisions related to schema architecture, data distribution, performance optimization, security, governance, and cost management in Snowflake.
  • Collaborate with Program Management, Agile PMO, ETL development, DevSecOps, DBA, user support, and analytics teams.
  • Oversee ingestion, transformation, and integration of complex healthcare datasets.
  • Work hands-on in Snowflake, including DDL design, warehouse configuration, performance tuning, and workload optimization.
  • Leverage and advise on usage of related AWS data services.

Requirements

What you’ll need
  • BS/MS degree with 10+ years of general experience in information systems and 8+ years of specialized data warehouse related experience
  • 6+ years of experience in cloud data architecture, data warehousing, or enterprise data modeling
  • 6+ years Snowflake experience required
  • 2+ years direct CMS experience required
  • Extensive hands-on Snowflake experience, with strong skills in implementing logical and physical models
  • Proven leadership in large-scale cloud data environments, preferably within AWS
  • Deep experience with ETL/ELT frameworks and model‑driven engineering approaches
  • Proficiency in SQL, data transformation design, and performance optimization
  • Experience working with cloud‑native architectures, modern data integration patterns and AI solution development
  • Strong expertise in automation and scripting (e.g., Bash, PowerShell, Python, PySpark)
  • Excellent communication skills with demonstrated experience delivering presentations to diverse audiences at various levels of an organization
  • Experience managing, mentoring, and developing engineering staff.

Benefits

Comp & perks
  • Full-flex work week.
  • 401K with company match.
  • Customizable health benefits packages.
  • Collaborative teams of highly motivated critical thinkers and innovators.
  • Internal mobility team dedicated to helping you own your career.
  • Rewards program for high-performing employees.

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
Snowflakedata warehousingcloud data architectureETLELTSQLdata transformation designperformance optimizationautomationscripting
Soft Skills
leadershipcommunicationmentoringcollaborationpresentation skills