Tech Advisory, Data Engineering Manager

Role Description

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.

Key Responsibilities

• Engagement Delivery
  • 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.
• Solution Design & Development
  • Design and implement scalable data pipelines, ingestion frameworks, and transformation layers using platforms such as Microsoft Fabric, Databricks, and MuleSoft.
  • 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.
• Team & Stakeholder Management
  • 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 workstreams (M&A, Integrations, Data Governance, Analytics, Cloud Infrastructure) to ensure cohesive platform delivery.
• Practice Development
  • 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.

Qualifications

• 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.

Requirements

• 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.

Benefits

• Comprehensive total rewards package.
• Inclusive culture that values diversity.
• Consistent meetings with a Career Coach to guide career goals and aspirations.