Data Engineering Manager

Kansas City – Hybrid (1x day per week in the office) Permanent Role Summary Our client, a global digital transformation consultancy delivering enterprise data platforms on Microsoft technologies, is seeking a Data Engineering Manager to join their Data & AI practice. This is a hands-on technical leadership role for a candidate with a consultancy background and deep, demonstrable expertise in Microsoft Fabric and Databricks , who can set technical direction, own client relationships, and lead delivery on enterprise-scale data platform engagements. Candidates from purely internal/in-house data teams, without prior consulting or professional services experience, will not meet the essential criteria for this role. Key Responsibilities Own and oversee delivery of data platform, analytics, and data science projects, liaising directly with client stakeholders Provide leadership, coaching, and mentorship to team members; build a strong learning culture within the practice Maintain current expertise in data technology trends; share knowledge via speaking engagements, publications, and workshops Define executive-level data roadmaps and detailed data/AI governance frameworks for clients Partner with project management to plan delivery team workload and ensure quality of deliverables Bachelor's degree in Computer Science or a related discipline 12+ years' industry experience, including 4 most recent years as a hands-on manager leading teams on enterprise-scale data platform projects 4+ years in a consulting/professional services role, working directly with enterprise customers Strong, hands-on expertise with Microsoft Fabric, plus Azure Data Factory, Synapse Analytics, Power BI, Azure SQL, Azure Cosmos DB, and Azure Database for PostgreSQL Deep, demonstrable Databricks expertise, including enterprise-level strategy and architecture across Unity Catalog, data warehousing, data sharing, and Mosaic AI Proven experience architecting end-to-end modern data platforms in Azure: design, ingestion, storage strategy, analytics/reporting, Apache Spark, and networking Experience establishing data management strategy, including governance, security, master data management, and industry-specific security requirements Excellent communication skills, with the ability to explain complex technical concepts to both technical teams and client stakeholders J-18808-Ljbffr