Data Governance Consultant

MUST HAVE Mandatory Skills for each technology (All MUST) Hands on experience with Microsoft Purview Data Catalog Hands on experience with Microsoft Fabric (OneLake, Lakehouse/Warehouse) Must have experience with Data Quality (DQ) & data profiling Must have experience working with ontology structures and build relationship graphs 1. Objective Establish a connected, enterprise-grade data Catalog and governance framework to support Symphony data sources, enabling end-to-end data product development, discoverability, data quality, lineage, and AI-driven operations using Microsoft Fabric and Microsoft Purview. 2 - Scope of Work 2.1 Data Catalog Development Scan and onboard prioritized Symphony data sources into Microsoft Purview Data Catalog Curate catalog assets by: Updating business definitions Maintaining and extending the business glossary Aligning metadata for both existing and new Symphony datasets 2.2 Data Product Enablement Design and develop end-to-end data products for Symphony datasets Build and manage data storage using Microsoft Fabric (OneLake, Lakehouse/Warehouse) Publish certified data products and associated metrics metadata for front-end consumption Ensure alignment with governance standards and domain ownership 2.3 Data Modeling & Semantic Layer Design and implement data models and entity relationships for catalog assets Develop semantic models to support catalog output consumption Standardize dimensions (e.g., Brand, Country) and metrics definitions 2.4 Ontology & Graph Enablement Leverage entity models to define ontology structures Enable ontology within Fabric and build relationship graphs to support data quality use cases across Symphony data sources Support connected insights through relationship-aware data modeling 2.5 Data Quality & Profiling Enable data profiling across Symphony datasets Extend existing Data Quality (DQ) framework to cover new data sources Publish DQ reports and dashboards Implement DQ data agents for automated monitoring and issue detection 2.6 Data Lineage & Governance Enable end-to-end data lineage across all Symphony data sources Ensure traceability from source to consumption layer Implement governance policies including: Data classification Ownership and stewardship Access controls and compliance alignment 2.7 AI-Driven Capabilities Design and develop AI agents to support: Data quality monitoring Metadata curation and recommendations Data discovery and query assistance Leverage AI capabilities within Fabric and Purview to automate and enhance operations 3. Deliverables Connected Data Catalog with curated metadata and glossary Certified Data Products and published metrics Data Models and Semantic Layer for Symphony datasets Ontology and Relationship Graphs enabled Data Quality Framework Extension with reports and AI agents Data Lineage Implementation across all relevant pipelines AI Agents supporting governance and operations 4. Success Criteria All prioritized Symphony data sources are cataloged and governed Certified data products are available for business consumption Data quality coverage and monitoring are established at scale End-to-end lineage and traceability are enabled AI-driven capabilities improve productivity and data trust Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.