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Senior Snowflake Engineer

Spectraforce Technologies
remote work
United States, Colorado, Denver
Mar 30, 2026
Senior Snowflake Engineer

REMOTE (Occasionally travel to Denver to meet team)

12 Months

** While team supports telecommuting / remote work, it is expected that the contractor performs the work within the State of Colorado and preferably in the Denver Metropolitan Area; there will be occasions where the contractor will have to collaborate with their colleagues and attend in-person meetings in one of the State offices **

Position Objective: The team is seeking a highly specialized Senior Operations and Data Engineer to serve as the primary administrator and technical lead for our Snowflake ecosystem. This role is a hybrid of platform operations and high-level data engineering, ensuring that sensitive state and federal data (FTI/CJIS) is managed within a secure, high-uptime, and cost-effective environment.

Preferred Qualifications: To be considered for this role, candidates should provide proof of the following:

Active Snowflake Certification

Background Clearance Readiness: Absolute eligibility to pass OIT, FTI (Federal Tax Information), and CJIS (Criminal Justice Information Services) background checks.

Key Responsibilities:

Platform Operations & Administration

  • Snowflake Mastery: Act as the lead administrator for Snowflake environments; manage platform uptime, vendor escalations, and patch/versioning communications.
  • Environment Provisioning: Configure Snowflake, including complex RBAC (Role-Based Access Control) and security permissions.
  • Governance & CI/CD: Implement and manage DataOps and CI/CD pipelines to automate deployments for the broader implementation team.
  • Financial Stewardship: Configure cost-management features such as Snowflake resource monitors, budgets, and consumption tracking; consult on chargeback models.


Data Engineering & Transformation

  • Pipeline Architecture: Develop robust ETL/ELT pipelines to ingest data from transactional systems (Line of Business) into the analytical Snowflake environment.
  • Analytical Modeling: Translate Data Architect visions into technical reality by building complex transformations and target schemas.
  • Quality Management: Design and deploy automated data cleansing and quality-check pipelines.
  • Performance Engineering: Optimize data flows for specific latency and frequency requirements while maintaining credit efficiency.



Primary Deliverables:

  • Architectural Contributions: Design reviews, Architectural Plans, and Scope Documents.
  • Deployment Assets: New account/environment deployments, security schemas, and permission assignments.
  • Engineering Assets: Comprehensive ETL Pipeline Design Documents, Mapping Documents, and production-ready Pipelines.
  • Product Backlog & Support Ticket Management; performance reports
  • Weekly Status Reports

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