Tech Advisory, Data Engineering Manager

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Crowe's Technology Advisory (ITA) practice is seeking a Manager, Data Engineer to lead data platform engagements for clients across a range of industries. This individual will serve as the primary technical and delivery lead for data engineering initiatives, combining hands-on development expertise with project management and client advisory responsibilities. The ideal candidate brings deep programming proficiency alongside practical experience with modern data platform vendors, and is equally comfortable writing production-grade code and presenting architectural recommendations to senior client stakeholders.

• Lead end-to-end delivery of data engineering engagements, owning scope, quality, timeline, and client satisfaction
• Conduct discovery workshops to assess current-state data architectures, integration patterns, and platform maturity
• Author and present statements of work, technical proposals, and executive-level deliverables
• Serve as the senior escalation point for architectural decisions and complex technical issues across active engagements

• Design and implement scalable data pipelines, ingestion frameworks, and transformation layers using platforms such as Microsoft Fabric, Databricks, and Mule Soft, as well as
• Write, review, and optimize production code in Python, SQL, and/or Scala; enforce code quality standards and best practices across the engagement team
• Architect cloud environments and govern data modeling decisions
• Evaluate and recommend vendor solutions aligned to client use cases, data volumes, and existing technology landscape
• Integrate structured and unstructured data sources, including APIs, event streams, and enterprise applications

• Manage and mentor team members, providing technical guidance and career development support
• Collaborate with client executive, data, analytics, and IT teams to align delivery priorities and ensure adoption of engineered solutions
• Coordinate across work streams (M&A, Integrations, Data Governance, Analytics, Cloud Infrastructure) to ensure cohesive platform delivery

• Contribute to the development of reusable accelerators, delivery playbooks, and platform standards within the practice
• Support business development activities including RFP responses, capability demonstrations, and client presentations
• Stay current on emerging data engineering tools, frameworks, and vendor roadmaps; share knowledge across the practice

• Bachelor's degree in Computer Science, Data Engineering, Software Engineering, or related field required
• Microsoft Certified:
  Fabric Analytics Engineer Associate or Azure Data Engineer Associate preferred
• Databricks Certified Data Engineer Associate or Professional a plus

• 5-8+ years of progressive experience in data engineering, data platform development, or technical consulting
• Demonstrated experience leading data platform builds, migrations, or integration programs in a client-facing or consulting environment
• Prior experience managing or mentoring technical team members
• Private Equity or Financial Services sector experience is a plus

• Strong proficiency in Python (required); SQL (required);
  Scala or Spark a plus

• Microsoft Fabric (Lakehouse, Data Factory,…