Lead Data Engineer

About the role

The Deloitte AI & Engineering team transforms technology platforms, drives innovation, and makes a significant impact on clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes critical to businesses.

Responsibilities

• Lead complex data and artificial intelligence programs across the Databricks platform, serving as a subject matter advisor to delivery teams.
• Build and maintain client relationships while advising stakeholders on enterprise data and artificial intelligence strategy.
• Lead, coach, and develop cross-functional teams of data engineers, data scientists, and architects across client engagements.
• Design data-driven architectures that integrate data engineering, business intelligence, and artificial intelligence and machine learning capabilities.
• Provide delivery oversight, define success criteria, and guide teams on data governance, security, and machine learning operations practices.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 7+ years of experience designing and implementing enterprise data architecture and data models across multiple source systems, including end-to-end ownership of data model design for six source systems.
• 3+ years of experience defining schema design, medallion layer contracts, and Databricks Metric Views within Databricks-based data platforms, including schema design.
• 3+ years of experience developing and implementing solutions using Microsoft .NET, Amazon Web Services (AWS), Amazon Elastic Container Service (ECS), and Databricks.
• Preferred: Experience providing technical governance across multiple workstreams, including planning, stakeholder reporting, risk and issue management; Experience delivering technology solutions within a software development life cycle (SDLC) and Scrum environment.