Data Platform Engineering Lead

About the role

DATA PLATFORM ENGINEERING 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 Engineering Lead – Managed Services, 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 an Engineering Delivery Manager, you’ll lead the day-to-day operation and continuous improvement of a client’s data platform services. You’ll guide engineering and operations teams to maintain platform health, deliver reliable service, and manage operational risk in partnership with cloud, security, architecture, and client stakeholders.

* Lead operational administration and service health for Snowflake, Matillion Data Productivity Cloud, and on-premises ETL environments. * Govern incident, problem, change, and knowledge management; monitor SLA performance and drive timely root-cause analysis and remediation. * Coordinate production releases, CI/CD orchestration, environment provisioning, disaster recovery planning, and operational readiness. * Oversee approved platform enhancements from estimation and design through testing and implementation. * Lead engineering teams and service partners; manage priorities, capacity, escalations, and stakeholder communications. * Facilitate change advisory reviews and support operational audits, reporting, and governance requirements.

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.