Sr. Data Governance Engineer
BambooHR
| Company | BambooHR |
| Category | Engineering |
| Location | Utah | Hybrid |
| Remote | Hybrid |
| Employment | Not stated |
| Level | Senior |
| Salary | Not stated by the employer |
| Posted | 27 May 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
Please Note: This is a Utah-based hybrid position which will require some regular in-office days each week. Additionally, employment with BambooHR is contingent on passing both a background and credit check.
AI at BambooHR
At BambooHR, we’re all about setting people free to do great work, and we believe AI is a powerful partner in that mission. We’re leaning into intelligent tools to streamline our workflows, giving us more time for high-impact innovation. We look for curious, forward-thinking people who are ready to explore how AI can elevate their work and help us reimagine the future of HR.
Essential Job Duties
At BambooHR, we’re building a world where data helps people do their best work. As we continue to grow our data platform and AI capabilities, we’re looking for a Senior Data Governance Engineer to help ensure our data is trusted, well-defined, and ready to power better decisions across the company. If you enjoy solving messy data problems, bringing clarity to complexity, and helping teams use data the right way—this role is for you.
You’ll be a key part of our Data Governance team, helping us scale how we manage, define, and use data across BambooHR.
You will:
Make Data More Trusted
Identify and help resolve data quality issues across systems
Facilitate change control reviews to protect key data pathways
Analyze and validate data to ensure it’s accurate, complete, and consistent
Build AI agents to certified data assets
Help Define “One Version of the Truth”
Partner with teams across the business to define and document key metrics and KPIs
Support our data certification efforts so teams can rely on consistent, trusted data
Help align reporting, dashboards, and semantic models to shared definitions
Improve Data Discoverability
Contribute to our data catalog and KPI library hosted in Open MetaData
Assist in the administration of data asset management tools and systems
Document data definitions, lineage, and ownership
Add context and annotations to make data easier to find, understand, and unlock AI use cases
Support Data Governance Across the Company
Work with data stewards, business leaders, and technical teams to apply governance standards
Help scale governance practices across departments through data committees
Partner with Legal and InfoSec to ensure proper handling and protection of PII and sensitive data
Manage relationships with business, product, and engineering data owners
Partner with enterprise application owners to drive improvements to data sources, ensuring more accurate and reliable data
Help Govern AI & Data-Powered Experiences
Support governance for AI-driven tools like data assistants, copilots, and agentic AI
Help ensure AI systems use the right data, in the right way, with proper controls
Contribute to processes that make AI outputs more transparent, traceable, and trustworthy
Partner with platform and AI teams to align on responsible data usage
What Success Looks Like
Teams trust the data they’re using to make decisions
Key metrics are clearly defined and consistently used
Data is easier to find, understand, and use across the company
Data quality issues are identified and resolved quickly
AI-powered tools connect seamlessly with trusted data sources with proper guardrails
What You Need to Get the Job Done
5+ years of experience in data governance, data analytics, or related roles
Strong SQL skills and experience working directly with data
Experience improving data quality and working with large datasets
Familiarity with data platforms (data warehouse, lakehouse, etc.)
Familiarity with common enterprise applications and associated data domains
Understanding of how metrics, reporting, and self-service analytics work
Ability to communicate clearly and collaborate across teams
B.S./M.S. in Computer Science, In
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