Data Platform Support Lead

About the role

DATA PLATFORM SUPPORT LEAD

Engineering and Product | Engineering Managed Services Same job available in 11 locations

Atlanta, Georgia, United States

Boston, Massachusetts, United States

Charlotte, North Carolina, United States

Cincinnati, Ohio, United States

Columbus, Ohio, United States

Hartford, Connecticut, United States

Jersey City, New Jersey, United States

New York, New York, United States

Philadelphia, Pennsylvania, United States

Raleigh, North Carolina, United States

Washington, District of Columbia, United States

POSITION SUMMARY

Position Overview

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As a Data Platform Support Lead, you will have the ability to share new ideas and collaborate on high-impact projects supporting mission-critical financial services initiatives—without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. The Project Talent Model (PTM) is a talent model tailored specifically for long-term, onsite client service delivery.

Recruiting for this role ends on 12/14/2026.

Work location: Remote – US Based

Work You'll Do / Responsibilities

As a Data Platform Engineer, you’ll help design, build, and improve data platforms that enable clients to manage and use data effectively. You’ll work with the client and Deloitte teams to translate business needs into scalable technical solutions, contribute across the delivery lifecycle, and support the development of junior team members.

* Design and implement data platform components, including ingestion, transformation, storage, and access patterns. * Build and maintain data pipelines using cloud-based services and modern data engineering tools. * Apply engineering practices for data quality, testing, monitoring, security, and performance. * Collaborate with architects, analysts, and client stakeholders to turn requirements into technical designs and deliverables. * Troubleshoot platform and pipeline issues and recommend practical improvements. * Contribute to technical documentation, code reviews, and team knowledge sharing.

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 manage and prioritize multiple tasks in a fast-paced and dynamic environment * Strong interpersonal skills and professional demeanor * Ability to meet deadlines

The Team

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated and verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology and data platforms. Our delivery models are tailored to meet each client's unique requirements.