Design, implement, and continuously improve governance frameworks for data integrations, including data cataloging, ownership models, SLAs, and lifecycle management
Establish and operationalize clear ownership structures, prioritization mechanisms, and incident management processes for data sources within the integration layer of the data warehouse
Partner with business and technical stakeholders to identify high-impact use cases and define data contracts that improve the quality, reliability, and stability of critical reporting assets
Drive the adoption and operationalization of Data-as-a-Product practices across the Analytics Division
Promote, enable, and support Data Governance and Data Quality standards, best practices, and scalable control mechanisms
Contribute hands-on to the development and maintenance of governance infrastructure, orchestration capabilities, metadata platforms, and automation solutions
Collaborate cross-functionally with Analytics, Data Engineering, Platform, and business teams to ensure alignment, accountability, and consistency across the data ecosystem
Proactively identify governance gaps, operational risks, and improvement opportunities to strengthen the stability and robustness of the Analytics environment

3+ years of experience in Data Analytics, Data Engineering, DataOps, or similar data-focused roles
2+ years of experience in Data Governance, Data Stewardship, Data Management, or related areas
Strong SQL skills and working knowledge of Python
Understanding of data architecture, data integration patterns, data pipelines, and data warehouse concepts
Experience working with data catalogs, lineage tools, metadata management systems, or governance platforms
Experience defining or supporting data SLAs, data contracts, operational processes, or incident management workflows
Experience collaborating with cross-functional stakeholders in data-intensive environments
Strong stakeholder management and collaboration skills across technical and business teams
Effective communication skills with the ability to align teams around governance standards and processes
Ownership mindset with the ability to drive initiatives end-to-end and proactively resolve issues
Strong structured thinking and ability to operate effectively in ambiguous or evolving environments
Proactive problem-solving approach with focus on scalability, reliability, and continuous improvement
Experience with modern data stack tools such as dbt, Airflow, BigQuery, OpenMetadata, or similar technologies
Familiarity with cloud-based data platforms and services (AWS, GCP, or Azure)
Familiarity with AI-assisted engineering and productivity tools (e.g. Cursor, Claude Code, Codex, or similar)

Data Governance Engineer

Key skills