Data Governance Specialist
Core
Establish data governance, quality, and integrity controls, standards, and processes across the business to ensure data is accurate, reliable, and fit for purpose.
Role type
Data Governance Specialist
Builds
Data products and insights
Domain
Retail / Data Governance
Deliverable
production ML models
Required skills
Data quality assessment, metadata management, data lineage, privacy compliance, Databricks, SQL, data lifecycle controls, DAMA-DMBOK principles, Unity Catalog
Preferred skills
Data engineering, data architecture, AI use cases
Responsibilities
Assess business initiatives and data products to identify data ownership, quality, metadata, lineage, privacy and other governance requirements; Investigate material data quality issues using Databricks and SQL, determine root causes and work with accountable teams to establish remediation; Define data quality rules, thresholds and monitoring requirements and determine where appropriate controls should operate across the data lifecycle; Assess new data acquisition and ingestion into Databricks for fitness for purpose and establish required governance, metadata and data quality requirements; Improve the usability and control of data through business definitions, metadata, lineage, ownership and Unity Catalog capabilities; Translate DAMA-DMBOK principles and NDO standards into practical requirements for Data Engineering, Data Architecture, Product Owners and business teams.