Data Platform Engineering Lead

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.

Engineering as a Service provides complete design, implementation, and technology operations, leveraging our core engineering expertise. We transform engineering teams, modernize technology, and deliver complex programs with a product engineering approach. Our flexible delivery models-traditional teams, pools, or pods-are tailored to each client's needs, offering engineering-led advisory, implementation, and operational capabilities to accelerate innovation.

Qualifications

Required

• 10+ years of experience in data platform engineering, cloud operations, or technology service delivery.
• 5+ years of experience leading engineering or platform operations teams in a production or managed-services environment.
• 4+ years of experience administering or supporting Snowflake and enterprise data platforms.
• 3+ years of experience with Matillion DPC or comparable ETL/data integration platforms, including on-premises environments.
• 5+ years of experience managing ITSM processes, including incident, problem, change, SLA, and service reporting; ITIL-aligned experience preferred.
• 3+ years of experience overseeing production releases, CI/CD, environment operations, or disaster recovery across AWS and/or Azure.
• Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related technical discipline, and/or equivalent professional experience.
• Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve.

• Must be able to work in a Hybrid model - minimum of 3 days onsite at the client location in Dallas, TX.

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 $116800 to $208300

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.