• Architect and deliver complex, multi-year data unification and Customer 360 solutions. • Design and implement Master Data Management (MDM) capabilities: identity resolution, match/merge logic, survivorship rules, and stewardship workflows. • Build and operate scalable, automated data pipelines across cloud and on-prem sources; hands-on experience with Profisee (MDM) and Fivetran (integration). • Develop and optimize solutions on Azure Data Lake, Azure Synapse, Azure Data Factory, Power BI, and Microsoft Fabric (including lakehouse/medallion patterns). • Establish and operationalize data governance frameworks: data cataloging, lineage tracking, stewardship operating models, access controls, and regulatory/compliance policies; experience integrating Microsoft Purview is a plus. • Define and monitor data quality baselines (accuracy, consistency, completeness, timeliness) and drive continuous improvement. • Create and evolve semantic models to support analytics, reporting, and AI scenarios; enforce standardized definitions and calculations. • Lead change management and stakeholder engagement to drive adoption and value realization. • Apply DataOps practices for observability, performance tuning, hypercare, and post–go-live optimization. • Collaborate with executive, business, and IT stakeholders; translate business needs into clear technical designs and roadmaps.