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
Design and implement scalable data pipelines, ingestion frameworks, and transformation layers
Write, review, and optimize production code in Python, SQL, and/or Scala; enforce code quality standards
Architect cloud environments and govern data modeling decisions
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

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
Strong proficiency in Python (required); SQL (required); Scala or Spark a plus
Microsoft Certified: Fabric Analytics Engineer Associate or Azure Data Engineer Associate preferred
Databricks Certified Data Engineer Associate or Professional a plus
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
Familiarity with data cataloging, lineage, and quality frameworks (Purview, Unity Catalog, or similar)

Data Engineering Manager

Key skills