Analytics Governance Engineer

Title: Analytics Governance Engineer

Location: Remote

Duration: 9+ Months contract

Job Summary:
The Analytics Governance Engineer is responsible for technical detection and orchestration of business intelligence (BI) governance. This role focuses on programmatically detecting metric and report duplication, normalizing BI logic across tools, and integrating results into stewardship and governance platforms such as Atlan. The position partners with data platform engineering, BI teams, and data governance enablement to define standards, guardrails, and workflows that ensure high-quality, consistent analytics across the enterprise.

Essential Duties and Primary Responsibilities:
Build and maintain Python/SQL jobs to extract metric definitions from BI tools (e.g., Power BI, Tableau, Domo, SQL Server Reporting Services)
Standardize and compare BI logic to identify duplication and inconsistencies
Store and manage results as tags, custom attributes, and issue records in governance platforms (e.g., Atlan)
Configure and integrate custom metadata, saved views, and steward workflows
Partner with Reporting and BI teams to define metric naming standards, certification criteria, and deprecation policies
Coordinate semantic layer alignment across BI and analytics platforms
Develop and maintain CI/CD checks and Pull Request validation for new metrics
Ensure compliance with security and governance policies as they relate to analytics and reporting
Other duties as assigned
Additional Duties and Responsibilities:
Facilitate steward review and certification/deprecation of metrics
Integrate governance workflows with platforms such as Databricks, and ServiceNow (optional)
Support technical enablement for data governance analysts and stewards
Qualifications:
Education and Experience:
Bachelor s degree in Information Systems, Computer Science, Analytics, Engineering, or related field
3+ years of directly applicable experience in analytics engineering, BI, or data governance

Specialized Knowledge, Skills, and Abilities:
Strong proficiency in Python and SQL
Experience with BI tool metadata APIs (Power BI, Tableau, Domo, SSRS)
Familiarity with analytics platforms (Databricks or equivalent)
Knowledge of REST APIs and metadata ingestion patterns
Experience with data catalog concepts and governance workflows (Atlan preferred)
Understanding of semantic layer concepts and CI/CD practices
Excellent problem-solving and communication skills
Working knowledge of Visual Studio and Azure DevOps