Data Governance Engineer

Role Overview

We are looking for a highly collaborative and technically strong Data Governance Engineer to help scale and mature governance practices across our Analytics ecosystem. This role is ideal for someone who combines hands-on engineering capabilities with a systems-thinking mindset and a strong focus on operational excellence.

What You Will Do

Design, implement, and continuously improve governance frameworks for data integrations, including data cataloging, ownership models, SLAs, and lifecycle management. Drive the adoption and operationalization of Data-as-a-Product practices across the Analytics Division.

Why It Might Be a Fit

3+ years of experience in Data Analytics, Data Engineering, DataOps, or similar data-focused roles. Strong SQL skills and working knowledge of Python. Understanding of data architecture, data integration patterns, data pipelines, and data warehouse concepts.

Requirements

• 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)

Benefits

• Unlimited PTO
• Hobby & team building budget allowance
• Employee Support Program
• Loss of family member financial aid
• Employee Resource Groups