Senior Level Data Engineering Lead Jobs
Senior level data engineering lead jobs place experienced engineers in charge of data platform strategy, pipeline architecture, and the cross-functional teams that deliver production-grade systems at scale. Openings concentrate in Technology & Software, Consulting & Professional Services, and Insurance, with a mix of on-site, remote, and hybrid settings, and employers like GHD, Eaton, and PM2CM hiring at this level now.
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Showing 5 of 10+ Senior Level Data Engineering Lead jobs
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.
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.
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Top Industries Hiring
- Technology & Software
- Consulting & Professional Services
- Insurance
- Manufacturing
Senior Level Data Engineering Lead Jobs: Frequently Asked Questions
How do I get a senior level data engineering lead job?
Employers at this level look for candidates who have owned end-to-end data infrastructure decisions, not just contributed to them. Demonstrating that you have set technical direction, resolved cross-team bottlenecks, and mentored junior engineers carries more weight than any single technology. A strong portfolio of production systems you led, combined with clear examples of business impact, gives candidates the clearest edge.
Which companies hire senior level data engineering leads?
Companies hiring senior level data engineering leads right now include GHD, Eaton, and PM2CM, based on current listings on Migrate Mate as of November 2026. Hiring at this level tends to come from organizations with mature data platforms that need experienced engineers to own architecture decisions and lead growing engineering teams.
Are there remote senior level data engineering lead jobs?
Yes, remote and hybrid availability is strong at this level. About 67% of senior level data engineering lead openings are remote or hybrid as of November 2026, reflecting employer confidence in placing experienced leads outside a central office. On-site roles do exist, particularly at companies building or scaling new data infrastructure with hands-on team oversight.
What makes a data engineering lead role senior level?
Senior level data engineering lead roles are defined by scope of ownership and technical accountability. Where mid-level roles focus on executing within defined systems, senior roles involve setting the architecture direction, making build-versus-buy decisions, and ensuring the entire data platform meets reliability and scalability standards. Mentoring engineers and partnering with product and analytics stakeholders are core expectations, not secondary responsibilities.
Which industries hire the most senior level data engineering leads?
Senior Level data engineering lead roles concentrate in Technology & Software, Consulting & Professional Services, and Insurance, based on current listings on Migrate Mate as of November 2026. These sectors drive hiring at this level because they operate large-scale data ecosystems where experienced engineering leadership is needed to maintain platform quality and support rapid product and analytical growth.