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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 consulting environment
Prior experience managing or mentoring technical team members
Private Equity or Financial Services sector experience is a plus
Technical Proficiencies
Programming Languages:
Strong proficiency in Python (required); SQL (required); Scala or Spark a plus
Data Platforms & Vendors:
Microsoft Fabric (Lakehouse, Data Factory, Synapse Analytics, Real-Time Intelligence)
Databricks (Delta Lake, MLflow, Unity Catalog, Spark)
MuleSoft (Anypoint Platform, API-led connectivity, DataWeave)
Cloud Platforms:
Microsoft Azure (Data Lake Storage, Azure Data Factory, Azure SQL, Synapse)
AWS or GCP exposure a plus
Integration Patterns:
REST APIs, event-driven architectures, ETL/ELT pipelines, message queues (Kafka, Event Hubs)
Data Governance & Quality:
Familiarity with data cataloging, lineage, and quality frameworks (Purview, Unity Catalog, or similar)
Key Competencies
Strong analytical thinking and structured problem-solving capabilities
Able to translate complex technical concepts into clear business value for non-technical stakeholders
Executive presence with experience engaging Director- and C-suite-level client contacts
Collaborative leadership style with a track record of developing junior and offshore talent
Comfortable managing multiple concurrent engagements in a fast-paced professional services environment
Detail-oriented with strong written and verbal communication skills
Work Environment
US-based; remote with travel to client sites as needed (estimated 15-25%)
We expect the candidate to uphold Crowe's values of Care, Trust, Courage, and Stewardship. These values define who we are. We expect all of our people to act ethically and with integrity at all times.
The application deadline for this role is 09/28/2026.
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. Crowe is not sponsoring for... For full info follow application link.
EOE M/F/D/V
