Data Governance Engineer

Insight Global
Sacramento, CA, United States
about 1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

Information Engineering Data Governance Data Infrastructure Data Integrity Meta-Data Management Data Streaming Technical Data Management Systems Cloud Platform System Data Lineage Collibra Data Pipelines Databricks

Job description

Insight Global is seeking a skilled Data Governance Engineer to support a fast-paced, aggressive-timeline data modernization initiative. This role is centered on ensuring that data assets ingested into a Databricks environment are properly catalogued, governed, and exposed through Collibra - the organization’s enterprise data governance platform. The ideal candidate brings a strong background in data quality rule configuration, data lineage, and governance metadata management, and must possess excellent verbal and written communication skills to collaborate effectively with cross-functional technical and business stakeholders. If you believe you are the right fit for the role, we welcome you to apply!, * Configure and maintain data quality rules within Collibra to ensure data integrity across the enterprise data environment

  • Capture and expose governance metadata - including data lineage, data definitions, and quality metrics - within Collibra for enterprise-wide consumption

  • Collaborate with data engineering teams to understand data assets residing in Databricks and ensure proper governance coverage

  • Build and maintain the governance layer within Collibra for newly ingested data pipelines and datasets

  • Validate that data lineage is accurately reflected in Collibra as new data flows are introduced into the Databricks environment

  • Work closely with internal stakeholders and interview panel leads (including the designated Collibra governance reviewer) to align governance standards with project requirements

  • Perform manual governance configuration work to ensure all new data assets are properly registered, classified, and accessible within the enterprise governance framework

  • Proactively communicate blockers, delivery timelines, and progress updates to project leadership without waiting for direction

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global’s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Requirements

  • 5+ years of experience in a data governance, data quality, or senior data analyst capacity

  • Hands-on experience with Collibra - specifically configuring data quality rules, managing data lineage, and maintaining governance metadata

  • Working knowledge of Databricks and how it integrates with governance platforms like Collibra

  • Demonstrated ability to understand data pipelines and translate technical data flows into governance artifacts

  • Strong accountability mindset - ability to own deliverables end-to-end, self-manage, and proactively communicate status and blockers

  • Strong verbal and written communication skills to interact with technical teams and enterprise stakeholders

  • Background in Medicare or healthcare is a strong plus, though not strictly required Experience with healthcare or other regulated data environments.

Familiarity with PII/PHI data standards.

Experience supporting data quality or metadata management programs.

Exposure to Databricks environments and cloud-based data platforms.

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