IT Governance Lead

Assignment Description

• Build and operate data products on Microsoft Fabric from ingestion through consumption-ready layers.
• Implement operational governance, data quality, metadata, catalog, lineage, and ownership controls.
• Establish monitoring, incident routines, service-level tracking, and FinOps practices.
• Increase hands-on data-engineering capacity across SSDP and provide targeted support to Business Insights.
• Build data products on Microsoft Fabric end to end, including ingestion, Bronze, Silver, and Gold transformation, modeling, and publication.
• Develop reusable templates, parameterized pipelines, metadata-driven ingestion, notebook libraries, and delivery patterns.
• Implement data contracts, metadata standards, lifecycle controls, and ownership information.
• Contribute delivery capacity for CMD, Sales, and future domain data products, and support Business Insights with Gold-layer preparation where needed.
• Implement and operate catalog, lineage, classification, ownership, and data quality using Microsoft Purview and/or Fabric-native capabilities.
• Define and implement quality checks, validation rules, certification criteria, and operational controls.
• Build and maintain operational dashboards for platform health, pipeline reliability, refresh status, usage, incidents, and cost.
• Track SLAs and SLOs and establish incident routines, runbooks, support processes, and continuous improvement actions.
• Manage day-to-day FinOps, including Fabric capacity utilization, cost allocation, showback, anomaly detection, and optimization recommendations.
• Support onboarding of domain teams to SSDP standards and ways of working.

Required Skills

• Microsoft Purview, including catalog, lineage, Data Map, and quality capabilities.
• Fabric operations experience, including Capacity Metrics App, Monitoring Hub, workspace monitoring, and usage reporting.
• Data-quality tooling such as Great Expectations, dbt tests, or equivalent.
• FinOps or cloud-cost-management experience and relevant certification.
• SLA and SLO tracking, incident management, and platform-support processes.
• Data contracts, domain-owned data products, and data-product lifecycle management.
• CI/CD and automated testing for data pipelines.
• CDC and event-driven ingestion.
• Relevant certification such as DP-700.
• Able and willing to work across both Business Insights and SSDP, with approximately 20–30% allocation to the secondary team as priorities require.
• Comfortable working in a platform-building environment where not everything is fully defined.
• Creates clear documentation, reusable patterns, and knowledge-sharing practices as part of normal delivery.
• Collaborates effectively with technical and business stakeholders, including retailer and franchisee contacts where relevant.
• Works transparently with backlogs, priorities, delivery plans, and agile ways of working.
• Communicates clearly in English and actively reduces single-person dependency.

Requirements

• Strong hands-on data engineering using PySpark or Spark, SQL, Python, pipeline orchestration, and incremental-loading patterns.
• Hands-on Microsoft Fabric experience, or strong Databricks or Synapse experience with a clear transfer path to Fabric, including Lakehouse, notebooks, pipelines, and OneLake or equivalent concepts.
• Experience building reusable pipelines and data products using frameworks and templates rather than only one-off deliveries.
• Practical governance-implementation experience involving data quality, metadata, catalog tooling, documentation, and operational controls.
• Experience with monitoring, operational reporting, platform support, and troubleshooting.
• Strong scripting and automation capability.
• Ability to work across technical teams, governance stakeholders, and business stakeholders with strong documentation discipline.
• Minimum approximately five years of relevant data-engineering experience with operations or governance exposure.