Tech Advisory, Data Engineering Manager

Your Journey at Crowe Starts Here: At Crowe, you can build a meaningful and rewarding career. With real flexibility to balance work with life moments, you're trusted to deliver results and make an impact. We embrace you for who you are, care for your well-being, and nurture your career. Everyone has equitable access to opportunities for career growth and leadership. Over our 80-year history, delivering excellent service through innovation has been a core part of our DNA across our audit, tax, and consulting groups. That's why we continuously invest in innovative ideas, such as AI-enabled insights and technology-powered solutions, to enhance our services. Join us at Crowe and embark on a career where you can help shape the future of our industry. Job Description Role Summary 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 both platforms such as Microsoft Fabric, Databricks, and MuleSoft, 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 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 Education & Certifications 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 Experience 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 J-18808-Ljbffr