Analytics Governance Engineer

Role: Analytics Governance Engineer
Position Type: Full-Time Contract (40hrs/week)
Contract Duration: Long Term
Work Schedule: 8 hours/day (Mon-Fri)
Work Time: Mountain or Central are preferred.
Location: 100% Remote (Candidates can work from anywhere in LATAM countries)

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