Tech Advisory, Data Engineering Manager
Crowe•Oakbrook Terrace, IL
•$115,000 - $184,000•Remote
About The Position
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.
Requirements
- Bachelor’s degree in Computer Science, Data Engineering, Software Engineering, or related field required
- 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
- Strong proficiency in Python (required); SQL (required); Scala or Spark a plus
- Microsoft Fabric (Lakehouse, Data Factory, Synapse Analytics, Real-Time Intelligence)
- Databricks (Delta Lake, MLflow, Unity Catalog, Spark)
- MuleSoft (Anypoint Platform, API-led connectivity, DataWeave)
- Microsoft Azure (Data Lake Storage, Azure Data Factory, Azure SQL, Synapse)
- REST APIs, event-driven architectures, ETL/ELT pipelines, message queues (Kafka, Event Hubs)
- Familiarity with data cataloging, lineage, and quality frameworks (Purview, Unity Catalog, or similar)
- 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
Nice To Haves
- Microsoft Certified: Fabric Analytics Engineer Associate or Azure Data Engineer Associate preferred
- Databricks Certified Data Engineer Associate or Professional a plus
- AWS or GCP exposure a plus
- Private Equity or Financial Services sector experience is a plus
Responsibilities
- 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 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
- 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
- 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
Benefits
- Comprehensive total rewards package
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What This Job Offers
Job Type
Full-time
Career Level
Manager
