Fulltime: Data Governance Engineer

Data Governance Engineer

Location: 1625 W. Fountainhead Pkwy, Suite 500, Tempe, AZ 85282

Onsite 4-days per week

They use Alation for Data Governance and Bigeye for Data Monitoring. Likely difficult to find but would put someone at the top of the list.

Job Summary:

The Senior Data Governance Engineer (Level 3) is a senior technical leader responsible for architecting, implementing, and operationalizing enterprise data governance controls across cloud-native data platforms and analytics environments. This role designs and engineers governance-by-design solutions, embedding data classification, metadata management, lineage tracking, data quality automation, and access controls directly into data pipelines, warehouse/lakehouse architectures, and BI platforms.

Working closely with data engineering, architecture, and security teams, the Senior Data Governance Engineer ensures governance controls are scalable, automated, auditable, and integrated within Azure data services, orchestration frameworks, and CI/CD workflows. This position drives technical excellence in enterprise data management by building robust governance tooling, enforcing engineering standards, and continuously improving platform reliability, security, and compliance posture.

Key Responsibilities:

•             Lead the design and implementation of enterprise data governance architecture, embedding governance policies, stewardship models, and standards directly into data platforms, pipelines, and analytics environments.

•             Engineer and operationalize enterprise data quality frameworks, including automated profiling, validation rules, monitoring, anomaly detection, and remediation workflows integrated within data orchestration tools (e.g., Azure Data Factory, Databricks) and warehouse/Lakehouse architectures.

•             Design, implement, and administer enterprise data catalog and metadata management solutions, including automated metadata ingestion, business glossary alignment, technical metadata integration, and end-to-end data lineage across source systems, transformations, and semantic/reporting layers.

•             Define and enforce data classification, master/reference data standards, lifecycle management, retention policies, and role-based access controls (RBAC) across Azure cloud-native data platforms and BI environments.

•             Establish and govern standards for data modeling, semantic layers, certified datasets, version control, CI/CD deployment pipelines, and DevOps practices to ensure secure, auditable, and scalable data releases.

•             Serve as a senior technical authority on enterprise data management and governance tooling, mentoring engineers and stewards while driving continuous improvement in automation, compliance readiness, and platform optimization.

Minimum Job Requirements:

•             5+ years of progressive experience in data engineering, data governance, or enterprise data management within production data warehouse or lakehouse environments.

•             Demonstrated experience designing and implementing enterprise data governance frameworks, including data quality management, metadata management, data catalog administration, data classification, and lifecycle governance.

•             Advanced expertise in SQL and data modeling, with strong experience integrating governance controls into Azure data platforms such as Azure Data Factory, Databricks/Spark, Power BI, and related cloud-native services.

•             Hands-on experience with data orchestration tools and CI/CD pipelines, including embedding automated data quality checks, lineage tracking, access controls, and governance-by-design practices within DevOps workflows.

•             Strong understanding of enterprise data security principles, including role-based access control (RBAC), least-privilege design, sensitive data handling, and regulatory compliance considerations.

•             Proven ability to lead complex technical initiatives, influence cross-functional stakeholders, mentor engineers and data stewards, and communicate governance standards effectively to both technical and business audiences.