Data Governance Engineer

Utah Transit Authority
Salt Lake City, UT, United States
16 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
$110,000.0 - $140,000.0
Working hours
Regular working hours
Job source

Tech stack

Microsoft Azure Data Cleansing Data Governance Extract Transform Load (ETL) Data Security Relational Databases Digital Assets Document-Oriented Databases Meta-Data Management Metadata Repositories Cloud Services SQL Databases
+3 more
Data Streaming Data Lineage Tools for Reporting

Job description

Utah Transit Authority seeks a Data Governance Engineer to design and implement data governance solutions supporting safe, reliable public transit. In this role, you will define and enforce data standards, build and maintain data catalogs and metadata, and implement data quality rules across UTA’s operational and planning systems. You will partner with IT, engineering, and business teams to secure sensitive data, improve accuracy for reporting and analytics, and document data lineage. This hybrid role offers stable, mission-driven work improving regional mobility and sustainability for communities along the Wasatch Front., * Design and maintain UTA’s data governance framework, policies, and standards.

  • Implement and manage data catalogs, metadata repositories, and business glossaries.
  • Define and monitor data quality rules, metrics, and remediation workflows.
  • Collaborate with IT, analytics, and business teams to govern key operational and planning data domains.
  • Ensure data security, privacy, and access controls align with regulations and UTA policies.
  • Document data lineage and data flows across core transit and enterprise systems.
  • Support BI, reporting, and analytics teams with trusted, well-documented data assets.
  • Provide guidance and training on data governance best practices to stakeholders.

Requirements

  • Data governance frameworks (DAMA, DCAM)
  • Master and reference data management
  • Data quality tools and methodologies
  • SQL and relational databases
  • Data catalog and metadata management
  • ETL/ELT development
  • Data security and privacy controls
  • Cloud data platforms (Azure/AWS/GCP)
  • BI/reporting tools
  • Data lineage and documentation

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