Description
Auxo is looking for a Senior Data Governance Specialist with a strong data engineering foundation to lead and operationalize enterprise-scale data governance programs for our clients.
This role is not advisory-only. You will design, implement, and embed governance frameworks directly into modern data platformscovering data quality, cataloging, lineage, and stewardshipworking closely with engineering teams and business stakeholders
Key Responsibilities
- Define, implement, and operationalize data governance policies, standards, and operating models
- Lead data stewardship programs, partnering with business and data owners to drive adoption
- Configure and manage governance platforms such as Atlan, Collibra, and Monte Carlo
- Build and maintain enterprise data catalogs with metadata, lineage, and discoverability
- Design and enforce data quality rules, monitoring frameworks, and remediation workflows
- Embed governance controls directly into data pipelines and platforms in collaboration with data engineering teams
- Support impact analysis, compliance, and decision-making through strong lineage and metadata :
Required Skills & Experience
- Data Governance (Strong Hands-on Experience)
- Data stewardship and ownership frameworks
- Data lineage and impact analysis
- Metadata management and catalog design
- Data quality dimensions, rules, and monitoring frameworks
- Data classification, access controls, and policy Platforms :
- Hands-on experience with Atlan, Collibra, or Monte Carlo (at least one mandatory)
Technical Foundation
- Advanced SQL (complex querying, analysis, troubleshooting)
- Strong understanding of data engineering fundamentals (ETL/ELT, pipelines, data modeling)
- Experience with modern data warehouses, data lakes, and cloud-based data stacks
Preferred Qualifications
- Experience with GCP (BigQuery, Dataplex) or other major cloud platforms
- DAMA CDMP or equivalent data governance certifications
- Experience working in regulated industries (e.g., Finance, Healthcare)
- Familiarity with dbt, Great Expectations, Soda, or similar data quality frameworks
(ref:hirist.tech)
