Client is seeking a Senior Data Engineering Lead to spearhead a strategic Data Foundation and Platform Modernization initiative. This leadership role will be responsible for designing and implementing a modern Databricks Lakehouse Platform, establishing enterprise-wide data standards, and defining a Unified Data Model (UDM) for the Supply Chain Management (SCM) domain.Required QualificationsExtensive experience with the Databricks ecosystem, including Databricks Lakehouse, Delta Lake, Unity Catalog, Delta Live Tables (DLT), Databricks SQL, and PySpark.Strong expertise in Enterprise Data Architecture, Data Modeling and Data Warehousing, Semantic Layer Design, and Data Platform Modernization.Proven experience designing and implementing Medallion Architecture (Bronze, Silver, Gold) patterns.Strong understanding of Data Governance, Data Lineage, Metadata Management, Data Quality Frameworks, and Security and Access Controls.Demonstrated ability to lead large-scale enterprise data transformation programs.Preferred Qualifications12+ years of experience in Data Engineering, Data Architecture, Data Platform Modernization, or related disciplines.Proven track record leading enterprise-scale Databricks Lakehouse implementations.Experience designing Supply Chain Management (SCM) data models and semantic consumption layers.

Sr. Data Engineering Lead (Databricks Lakehouse & Data Foundation)

Emma

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