Data Engineering Manager Resume Example
A professional resume example for Data Engineering Managers who lead teams building data platforms, pipelines, and infrastructure at scale while balancing technical depth with people management.
Last Updated: 2026-01-05 | Reading Time: 5 min
Written by: Priya Sharma, Technical Recruiting Expert
Quick Stats
Data Engineering Manager Resume Example
Priya Raghavan
priya.raghavan@email.com | (206) 555-0381 | Seattle, WA
linkedin.com/in/priyaraghavan
Professional Summary
Data Engineering Manager with 9 years of experience (5 in leadership) building and scaling data platforms processing 10TB+ daily. Led cross-functional teams of up to 14 engineers across data pipeline development, real-time streaming, and data governance initiatives. Drove a 99.9% SLA for critical data pipelines while reducing infrastructure costs by $1.2M annually.
Experience
- •Managed a team of 14 data engineers responsible for ingesting, transforming, and serving 10TB+ of daily data across 40+ microservices using Apache Spark, Airflow, and AWS Glue.
- •Defined and implemented a data mesh architecture that reduced cross-team data request latency from 2 weeks to 2 days, improving organizational data democratization.
- •Established an on-call rotation and incident response framework that achieved 99.9% SLA compliance for 150+ production pipelines.
- •Led hiring for 6 senior and mid-level positions, revamping the technical interview process to reduce time-to-hire by 30%.
- •Built and led a team of 8 engineers that owned the real-time pricing data pipeline processing 500K events per second using Apache Kafka and Flink.
- •Migrated legacy Hadoop-based pipelines to a modern lakehouse architecture on Databricks, reducing compute costs by 45% and improving query performance by 3x.
- •Partnered with product and data science teams to deliver a self-service data catalog that increased data discoverability and reduced redundant pipeline creation by 60%.
Education
Technical Skills
Apache Spark • Apache Kafka • Apache Airflow • AWS (Glue, Redshift, S3) • Databricks • Snowflake • Python • SQL • Terraform • Data Mesh Architecture • CI/CD Pipelines
Certifications
- AWS Certified Data Analytics – Specialty
- Databricks Certified Data Engineer Professional
Why This Data Engineering Manager Resume Works:
- Quantified achievements with specific metrics relevant to Data Engineering Manager roles
- Keywords match common Data Engineering Manager job descriptions and ATS filters
- Clean, ATS-compatible formatting optimized for tech industry standards
- Strong action verbs like Managed, Led, Established demonstrate impact
How to Write a Data Engineering Manager Resume
Professional Summary
Balance technical credibility with leadership scope. Mention team size, data volumes, and cost/reliability outcomes in the first two sentences.
Work Experience
Show both management and technical depth. Include team size, hiring, mentorship, and process improvements alongside pipeline scale and architectural decisions.
Skills Section
List the data technologies your teams use, but also highlight management-specific skills like hiring, incident management, and cross-functional partnership.
Action Verbs for Data Engineering Managers
Data Engineering Manager Resume Keywords
These keywords appear most frequently in Data Engineering Manager job descriptions. Include relevant ones in your resume:
Technical Keywords
data platformdata meshlakehouse architecturereal-time streamingbatch processingdata governancepipeline orchestrationdata catalogSLA managementinfrastructure cost optimizationIndustry Keywords
engineering managementteam scalingdata democratizationincident responsetechnical hiringorganizational data strategyTools & Technologies
Apache SparkApache KafkaApache AirflowDatabricksSnowflakeAWS GlueAWS RedshiftTerraformdbtPagerDutyJiraConfluenceCommon Data Engineering Manager Resume Mistakes to Avoid
Focusing only on management and omitting technical depth.
Include specific technologies and architectural decisions. Hiring managers want to see that you can guide technical direction.
Not quantifying team and organizational impact.
Mention team size, number of pipelines managed, data volumes, SLA metrics, and cost savings.
Ignoring people management skills.
Highlight hiring, mentorship, performance reviews, and how you grew individual contributors into senior roles.
Treating it like an IC resume with a manager title.
Balance technical contributions with process improvements, team culture initiatives, and cross-team partnerships.
Data Engineering Manager Resume FAQs
How do I transition from IC data engineer to manager?
Highlight mentorship, tech lead responsibilities, project coordination, and any direct or dotted-line reports you have managed.
Should I still list technical skills as a manager?
Yes. Data engineering managers are expected to remain technically proficient. List the stack your team uses and your hands-on contributions.
What is the most important metric for a data engineering manager?
Pipeline reliability (SLA compliance), infrastructure cost efficiency, team velocity, and data freshness are the most valued metrics.
How large of a team should I expect to manage?
Typically 6-15 engineers for a line manager, with senior managers overseeing multiple teams totaling 20-40 engineers.
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Last updated: 2026-01-05 | Written by Priya Sharma, Technical Recruiting Expert
Priya Sharma spent 9 years as a senior technical recruiter at Google and Meta before becoming an independent career advisor. She knows exactly what hiring managers and ATS systems look for in engineering and data science resumes.