
Lead Data Engineer
Tempe, AZJob$135–265K/yrSeen 3mo agoSeen in employer's feed 6 days ago
Most applications go out cold — see where you stand first. No sign-up to start.
You apply on the employer's site, with no Olive account needed.
Watch jobs like this. New roles like this one near Tempe, AZ, by email.
Don't just apply. Show up ready.
Olive works from this exact posting.
At a glance
Olive lists jobs from US employers, including remote roles you can work from the United States.
Requirements
Credentials this posting asks for.
Job overview
Deloitte seeks a Lead Data Engineer to design and deliver Databricks-based data and analytics solutions for client engagements. The role leads project teams through requirements gathering, design, development, testing, and deployment; translates business and technical needs into scalable data capabilities; and advises stakeholders on architecture and implementation. The candidate will oversee solution quality and delivery progress in complex client environments.
Skills & qualifications
Skills
Qualifications
Full job description
Deloitte is seeking a Lead Data Engineer- Databricks to support the design, build, and delivery of modern data and analytics solutions for clients across industries. In this role, you will help teams translate business needs into scalable data platform capabilities using Databricks and cloud-based technologies. The ideal candidate brings strong experience leading delivery teams, advising stakeholders, and driving solution execution across complex environments.
Recruiting for this role ends on 07/31/2026.
Work you'll do
-
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
A successful candidate would possess these skills: * Ability to work independently and collaborate as part of a team * Effective written and verbal communication skills * Meticulous attention to detail and quality of work product * Ability to build and sustain professional relationships * Ability to lead projects or workstreams * Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment * Strong interpersonal skills and professional demeanor * Ability to meet deadlines * Ability to provide clear guidance to others
The Team
This team supports clients as they modernize their data environments and build scalable platforms for analytics, reporting, and decision-making. Professionals in this area work across strategy, architecture, implementation, and deployment to help organizations improve how they manage and use data. The team often collaborates with business and technology stakeholders to deliver cloud-enabled, enterprise-scale solutions.
Qualifications Required:
-
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.
-
Limited immigration sponsorship may be available.
Preferred:
-
Master's degree
-
Experience with Delta Lake, Unity Catalog, or MLflow
-
Experience with Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
-
Experience designing batch and streaming data pipelines
-
Experience with data governance, data quality, or platform security controls
-
Experience supporting client presentations, proposals, or solution demonstrations
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 $134,500 to $265,100.
Information for applicants with a need for accommodation:
https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applic...
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.
How this job compares
Set against the 2,958 open Data Engineering jobs on Olive Jobs, counted November 12, 2026.
- Pay
- This posting$135–265K/yr
- Arizona median$105–208K/yr35 salary ranges
- US median$124–212K/yr2,365 salary ranges
This range's midpoint, $200K, is 21% above the Arizona median midpoint ($166K) — in the top quarter of Data Engineering salary ranges in Arizona.
- Openings
- Olive Jobs lists 43 open Data Engineering jobs in Arizona and 2,958 across the US. 8% of them nationwide are listed as remote or flexible.
- Experience
- This posting asks for at least 6 years of experience; Data Engineering postings that state a minimum ask for 5 years at the median (2,528 postings).
- Education
- This posting asks for a bachelor's degree; 1,177 of the 2,958 open Data Engineering jobs (40%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 12, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
Prepare for this role
You've read the whole posting — now see how you match it.


