Data Engineering Manager

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

Essential Criteria

• 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