Data Governance Engineer

Domino'sAnn Arbor, MI
16h$90 - $110Hybrid

About The Position

A proactive and detail-oriented Data Governance Analyst to contribute to enterprise-wide data governance initiatives. This role plays a key part in supporting the consistency, clarity, and usability of data across departments. The ideal candidate will bring foundational experience in data management, a working knowledge of data modeling and analytics tools, and a strong ability to collaborate with cross-functional teams. This position offers the opportunity to grow into a strategic data governance leader by working closely with senior analysts and business stakeholders to define and standardize key data elements, relationships, and metrics.

Requirements

  • 0–2 years of experience in data analysis, governance, or related fields
  • Basic understanding of relational databases and data modeling
  • Exposure to Python for data manipulation
  • Strong attention to detail and willingness to learn
  • Good communication and organizational skills

Responsibilities

  • Assist in scheduling and documenting stakeholder interviews.
  • Capture initial definitions of KPIs, metrics, and business terms.
  • Help facilitate workshops and take notes to support alignment efforts.
  • Populate and update metadata repositories or data catalogs under supervision.
  • Ensure definitions are tagged correctly and follow naming conventions.
  • Flag inconsistencies or gaps in definitions for review by senior analysts.
  • Assist in documenting table relationships and entity mappings.
  • Use tools like ER diagrams or spreadsheets to visualize simple data structures.
  • Validate foreign key relationships and report anomalies.
  • Support the creation of basic Python scripts/Databricks Metric View for metric calculations.
  • Test and validate logic created by senior analysts.
  • Maintain a library of reusable scripts and templates.
  • Apply existing governance policies to new data assets.
  • Participate in data quality checks and report issues.
  • Help enforce metadata tagging and naming conventions.
  • Create simple flowcharts, diagrams, and documentation for internal use.
  • Translate technical concepts into user-friendly guides for business users.
  • Maintain version control of documentation and ensure accessibility.
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