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# Data Engineer III

- **Company:** Deloitte T.T.L.
- **Location:** United States
- **Experience:** Experienced
- **Salary:** $113,300.0 - $188,900.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Global Positioning Systems (GPS), Machine Learning, Google Cloud, Cloud Platform System, Data Analytics, Machine Learning Operations, Databricks
- **Published:** June 2, 2026
- **Apply:** https://apply.deloitte.com/en_US/careers/JobDetail/Databricks-Senior-Consultant/354351

## About the Role

* 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 mentor and provide clear guidance to others, 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
 * Must be able to obtain and maintain a US government security clearance
 * 5+ years of real-world experience in a client-facing role, advising on and implementing end-to-end solutions on the Databricks platform
 * 2+ years of project experience with the full Databricks suite, including the latest Databricks features for data engineering, data science, and analytics including Lakeflow Connect, Agent Bricks, and Databricks Apps
 * 2+ years of experience in cloud ecosystems (AWS, Azure, GCP) and MLOps principles including Databricks Platform administration on a cloud provider
 * Ability to travel up to 25%, on average, based on the work you do and the clients and industries/sectors you serve

Preferred:

 * Strong leadership, communication, and stakeholder management skills
 * Databricks certifications (e.g., Data Engineer Professional, Machine Learning Professional) are highly preferred
 * Public sector experience preferred
 * Active public sector security clearance preferred

## Description

* Architect and Deliver Solutions: Lead the architecture and implementation of advanced solutions on Databricks, covering everything from large-scale data pipelines to production-ready AI/ML models.
 * Client Advisory and Strategy: Advise senior stakeholders on a holistic data strategy, including best practices for data engineering, MLOps, BI, and data governance on the Databricks platform.
 * Full-Spectrum Implementation: Oversee the design and development of robust data pipelines, analytics-ready data models, and scalable machine learning applications.
 * Team Mentorship: Guide and mentor junior team members, sharing practical insights across the data and AI lifecycle and ensuring high-quality, real-world-ready deliverables.
 * Project Leadership: Lead technical discussions with business and functional analysts to translate complex requirements into comprehensive solution designs based on proven project success.


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