Lead Data Engineer

Our Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help make a significant impact on our clients’ success. You’ll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

Work You’ll Do

As a Lead Data Engineer on the AI & Data team, you will be responsible for leading large-scale data and artificial intelligence programs that help clients modernize platforms, improve decision-making, and deliver measurable business outcomes using the Databricks platform.

Key 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.

The Team

Deloitte’s Government & Public Services (GPS) practice – our people, ideas, technology and outcomes – is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.

Qualifications

Required:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
• 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
• Ability to travel up to 25%, on average, based on the work you do and the clients and industries/sectors you serve

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

The wage range for this role takes 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. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $144,600 to $241,000.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.