Data Governance Engineer

We are looking to hire a Data Governance Engineer to own the hands-on administration and day-to-day operation of our platform's data governance and security tooling. This is a hands-on, technical role.

This position administers and operates our governance and security tool stack:
Snowflake Horizon and native Snowflake security features, Immuta for access governance, Anomalo for data quality, Alation for our data catalog, identity and access integration, our internal IBG tool for AI-generated data descriptions, and an in-development tool that tags data y are the first line of support across these tools - the first point of contact for alerts, configuration issues, and access questions.

The role works within an agile internal data services team of full-stack, reporting, and data engineers, SREs, product owners, the Data Governance Lead, and executive stakeholders. The Data Governance Lead sets program strategy, policy, and stakeholder alignment; this role turns that policy into working configuration and keeps it running. You will not be alone: complex or platform-level problems are worked with our platform engineering and SRE teams, and prior experience with our specific tools is not expected - the ability and appetite to learn them is.

• Administer and configure Snowflake Horizon and native Snowflake security and governance features - RBAC, masking, object tagging - as a light administrator of the platform.
• Implement and maintain access governance policies in Immuta, translating governance and security requirements into working technical controls.
• Configure, tune, and monitor data quality checks and alerts across governed datasets.
• Maintain and enrich the data catalog so datasets are discoverable, described, and classified.
• Adopt and help refine our internal tool for generating and validating data descriptions at scale.
• Partner with platform engineering to test, integrate, and roll out our in-development ingest-time data tagging tool.

• 3+ years of data engineering, software engineering, or platform engineering experience.
• Strong working proficiency in SQL and Python.
• Hands-on experience with Snowflake, including RBAC, masking, and object tagging.
• Experience owning day-to-day operations and troubleshooting for production systems.
• Comfortable learning unfamiliar tools quickly from documentation and vendor support, and getting them into working order.
• Working knowledge of core data governance concepts: data catalogs, critical data elements, data quality rules and metrics, and data classification.
• A quick learner who leans into new technical domains. Prior experience with our specific tool stack is not required.
• Experience partnering with a program or product lead to turn policy and requirements into technical implementation.

• Experience with data access governance tooling such as Immuta or Secu Pi.
• Experience with data quality tooling such as Anomalo, Monte Carlo, or similar.
• Experience with data catalog or metadata tooling such as Alation, Collibra, or Purview.
• Experience with infrastructure as code and CI/CD >
  Terraform or equivalent - applied to platform or security configuration.
• Experience with identity and access management tooling such as SailPoint or Okta.
• Experience participating in vendor evaluations or proofs of concept.
• Experience supporting domain data stewards to identify and define critical data elements and data quality rules, and participating in root cause analysis and remediation.
• Familiarity with privacy, compliance, or audit frameworks and their technical implementation.
• Experience with AI-assisted data documentation or description tooling.
• Exposure to agent or LLM access patterns over governed data.

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The estimated pay range for this position is USD $80.00/hr - USD $88.00/hr exact compensation and offers of employment are dependent on job-related knowledge, skills, experience, licenses or certifications, and location. We also offer comprehensive benefits. The Talent Acquisition Partner can share more details about compensation or benefits for the role during the interview process.