Lead Data Engineer

About the role

The Lead Data Engineer- Databricks will support the design, build, and delivery of modern data and analytics solutions for clients across various industries. Key responsibilities include leading project teams, translating business needs into scalable data platform capabilities, and advising stakeholders.

Responsibilities

• Leading the design and delivery of Databricks-based data and analytics solutions for client engagements
• Managing project teams and workstreams across requirements gathering, solution design, development, testing, and deployment
• Translating business and technical requirements into scalable data pipelines, data models, and platform capabilities
• Advising client stakeholders on architecture, implementation approaches, and operating model considerations for modern data platforms
• Overseeing solution quality, issue resolution, and delivery progress while supporting project economics and timeline management

Requirements

• Bachelor's degree
• 6+ years of experience delivering data engineering, analytics, or cloud data platform solutions
• 3+ years of experience with Databricks and Apache Spark
• 3+ years of experience with Python and Structured Query Language (SQL)
• 2+ years of experience leading project teams or workstreams
• Ability to travel 50% on average based on the work you do and the clients and industries/sectors you serve

Qualifications

• Master's degree preferred
• Experience with Delta Lake, Unity Catalog, or MLflow preferred
• Experience with Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) preferred
• Experience designing batch and streaming data pipelines preferred
• Experience with data governance, data quality, or platform security controls preferred
• Experience supporting client presentations, proposals, or solution demonstrations preferred

Benefits

Deloitte offers competitive benefits, including health insurance, retirement plans, and paid time off.

Pay

The wage range for this role is $134,500 to $265,100, taking into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.

Schedule

The role requires frequent travel, typically 50% on average, based on the work you do and the clients and industries/sectors you serve.