Senior Level Data Engineering Manager Jobs
Senior level data engineering manager jobs place experienced engineers in charge of data platform strategy, cross-functional pipeline ownership, and the teams that build and maintain production systems at scale. Roles are concentrated in Technology & Software, Consulting & Professional Services, and Retail, with 38% offering remote or hybrid work, and employers like Meta, REPLY, and NVIDIA hiring at this level now.
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🚨 Hiring: Data Engineering Lead | Fremont, CA (Onsite) 🚨
I'm currently hiring for a Data Engineering Lead opportunity with a leading client in Fremont, CA.
Location: Fremont, CA (Onsite, PST Time Zone)
Rate: Up to $85/hr
Experience: 10+ Years
Required Skills:
- Azure Data Factory (ADF)
- Azure Databricks
- PySpark & Spark SQL
- Python
- SQL & Oracle PL/SQL
- ETL/ELT Development
- Data Warehousing & Dimensional Modeling
- Medallion Architecture
We're looking for a hands-on technical leader who can design and build scalable data pipelines, lead data engineering initiatives, and mentor team members in a fast-paced environment. Interested candidates can send their updated resume or connect with me directly.
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Who's Hiring



Top Industries Hiring
- Technology & Software37
- Consulting & Professional Services5
- Retail3
- Insurance3
- Electronics & Hardware3
Senior Level Data Engineering Manager Jobs: Frequently Asked Questions
How do I get a senior level data engineering manager 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, driven platform migrations, and developed other engineers will give you an edge. A portfolio of measurable outcomes, such as pipeline reliability improvements or reduced data latency, signals the ownership scope these roles require.
Which companies hire senior level data engineering managers?
Companies hiring senior level data engineering managers right now include Meta, REPLY, and NVIDIA, based on current listings on Migrate Mate as of November 2026. Hiring at this level tends to come from organizations scaling their data platforms, including large technology firms, financial services companies, and data-intensive enterprises across healthcare and retail.
Are there remote senior level data engineering manager jobs?
Yes, remote availability is strong at this level. About 38% of senior level data engineering manager openings are remote or hybrid as of November 2026, reflecting how broadly distributed data engineering teams have become. Fully on-site roles do exist, particularly at companies building regulated data systems or those in early platform-build stages that prioritize in-person collaboration.
What makes a data engineering manager role senior level?
Senior level data engineering manager roles are defined by scope and accountability. Where mid-level roles focus on execution within defined systems, senior roles involve setting the architectural direction of data platforms, making build-versus-buy decisions, and owning outcomes across multiple teams or product lines. Mentoring engineers, influencing roadmaps, and bridging technical work with business objectives are all expected at this stage.
Which industries hire the most senior level data engineering managers?
Senior level data engineering manager roles concentrate in Technology & Software, Consulting & Professional Services, and Retail, based on current listings on Migrate Mate as of November 2026. These sectors drive the highest demand because they manage large, complex data ecosystems where experienced leadership over data infrastructure directly affects product performance, compliance, and competitive advantage.