Deloitte

US E-Consulting Services- Databricks Lead Data Engineer - 359514

United States · On-site
Salary not published
Posted 4 months ago

From Deloitte's careers page

Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.

About the role

In this role, you will help teams translate business needs into scalable data platform capabilities using Databricks and cloud-based technologies.

What they ask for vs. your profile

Must have

Databricks
Stakeholder management
AWS
ETL
Google Cloud
Time management
Attention to detail
Azure
Communication
Data governance
Python
SQL

Your match

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Hi [Name], I just applied for the US E-Consulting Services- Databricks Lead Data Engineer - 359514 role at Deloitte. My background in [your most relevant experience] lines up well with what the team is looking for. Would you be open to a quick chat, or could you point me to the right person on the team? Thank you!

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Deloitte

US E-Consulting Services- Databricks Lead Data Engineer - 359514

United States · On-site
Salary not published
Posted 4 months ago

From Deloitte's careers page

Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.

About the role

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

Show the full description

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…

In this role, you will help teams translate business needs into scalable data platform capabilities using Databricks and cloud-based technologies.

What they ask for vs. your profile

Must have

Databricks
Stakeholder management
AWS
ETL
Google Cloud
Time management
Attention to detail
Azure
Communication
Data governance
Python
SQL

What they ask for vs. your profile

Must have

Databricks
Stakeholder management
AWS
ETL
Google Cloud
Time management
Attention to detail
Azure
Communication
Data governance
Python
SQL

Your match

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Reach the hiring team

A short note to a recruiter or the hiring manager after you apply can get your application read sooner.

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