Senior Level Lead Data Engineer Jobs
Senior level lead data engineer jobs place experienced engineers in charge of data platform strategy, end-to-end pipeline ownership, and the technical direction of the teams that build and maintain them. Openings are concentrated across Technology & Software, Insurance, and Manufacturing, with a mix of on-site, hybrid, and remote roles available from employers like Oracle, Photon, and Trane Technologies hiring at this level now.
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Showing 5 of 21+ Senior Level Lead Data Engineer jobs
INTRODUCTION
We are looking for a highly skilled Data Engineer with extensive experience in data modeling and a strong technical foundation.
ROLE AND RESPONSIBILITIES
- Minimum 10 years of relevant work experience in data engineering, with at least 2 years in data modeling.
- Strong technical foundation in Python, SQL, Spark/Pyspark and experience with cloud platforms (for example, AWS, Azure).
- Deep understanding of data engineering fundamentals, including database architecture and design, Extract, Transform and Load (ETL) processes, data lakes, data warehousing, and both batch and streaming technologies.
- Experience with data orchestration tools (e.g., Airflow), data processing frameworks (e.g., Spark, Databricks), and data visualization tools (e.g., Tableau, Power BI).
- Proven ability to lead a team of engineers, fostering a collaborative and high-performing environment.
INTRODUCTION
We are looking for a highly skilled Data Engineer with extensive experience in data modeling and a strong technical foundation.
ROLE AND RESPONSIBILITIES
- Minimum 10 years of relevant work experience in data engineering, with at least 2 years in data modeling.
- Strong technical foundation in Python, SQL, Spark/Pyspark and experience with cloud platforms (for example, AWS, Azure).
- Deep understanding of data engineering fundamentals, including database architecture and design, Extract, Transform and Load (ETL) processes, data lakes, data warehousing, and both batch and streaming technologies.
- Experience with data orchestration tools (e.g., Airflow), data processing frameworks (e.g., Spark, Databricks), and data visualization tools (e.g., Tableau, Power BI).
- Proven ability to lead a team of engineers, fostering a collaborative and high-performing environment.
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Who's Hiring
Top Industries Hiring
- Technology & Software11
- Insurance2
- Manufacturing2
- Artificial Intelligence1
- Construction & Real Estate1
Senior Level Lead Data Engineer Jobs: Frequently Asked Questions
How do I get a senior level lead data engineer job?
Employers at this level look for engineers who have already led complex data initiatives, not just contributed to them. Demonstrable ownership of data architecture decisions, experience mentoring junior engineers, and a portfolio of pipelines or platforms you designed from the ground up all set candidates apart. Proficiency with modern orchestration tools, cloud-native infrastructure, and stakeholder communication across technical and non-technical teams carries significant weight.
Which companies hire senior level lead data engineers?
Companies hiring senior level lead data engineers right now include Oracle, Photon, and Trane Technologies, based on current listings on Migrate Mate as of November 2026. At this level, hiring tends to come from organizations scaling their data platforms, modernizing legacy infrastructure, or building out centralized data teams that need experienced engineers to set technical standards.
Are there remote senior level lead data engineer jobs?
Yes, though availability varies by employer and industry. About 27% of senior level lead data engineer openings are remote or hybrid as of November 2026, reflecting the continued demand for distributed data engineering talent at this level. On-site roles are more common at companies building tightly integrated data teams or working with sensitive on-premise infrastructure.
What makes a lead data engineer role senior level?
Senior level lead data engineer roles are defined by scope and ownership rather than task execution. Engineers at this stage set architectural direction, make build-versus-buy decisions, and are accountable for the reliability and scalability of the data platform as a whole. They mentor mid-level and junior engineers, partner with data scientists and analysts to define data contracts, and represent engineering decisions to leadership.
Which industries hire the most senior level lead data engineers?
Senior Level lead data engineer roles concentrate in Technology & Software, Insurance, and Manufacturing, based on current listings on Migrate Mate as of November 2026. These sectors drive hiring at this level because they operate at a data scale that requires experienced engineers to own platform reliability, govern data quality, and lead teams building the infrastructure that underpins business-critical analytics.