Head of Data Engineering & Platform Delivery

Markel Corporation; Omaha (NE); On-site; USD 109,000 - 227,000; Full time

Benefits offered by this job

Health benefits

401(k) plan

Employee Stock Purchase Plan

Paid time off

Holidays & leave

Parental leave

Job summary

Markel Corporation is seeking a Data Engineering Manager to lead a team of data engineers and drive delivery of data platform components using Databricks and a medallion architecture across Raw, Refined, and Presentation layers.

You will manage multiple teams, coach engineers, and collaborate with stakeholders to align on priorities, metrics, and strategic objectives, while delivering robust data solutions and maintaining high engineering standards.

Qualifications

• 8–10 years of software development, infrastructure, or data engineering experience.
• Experience with agile software development methodologies.
• Experience implementing or working within a medallion architecture (Raw, Refined, Presentation).
• Practical experience applying AI or machine learning technologies in a data context.
• Knowledge of ETL tools and best practices in design.
• Experience managing multiple teams is strongly preferred.

Responsibilities

• Leads a team of data engineers and drives delivery.
• Tracks delivery, reports deviations to management.
• Conducts performance reviews and manages promotions.
• Oversees recruitment, development, and retention of staff.
• Defines operating standards and essential procedures.
• Designs, builds, and delivers data platform components with Databricks.

Skills

Databricks

Data engineering

Agile methodologies

Medallion architecture

AI/ML in data context

ETL tools

Team leadership

Communication skills

Education

Bachelor's degree in Computer Science, Information Systems, or related field

Tools

Databricks

Medallion architecture

Job description

Markel Corporation is seeking a Data Engineering Manager to lead a team of data engineers and drive delivery of data platform components using Databricks and a medallion architecture across Raw, Refined, and Presentation layers.

You will manage multiple teams, coach engineers, and collaborate with stakeholders to align on priorities, metrics, and strategic objectives, while delivering robust data solutions and maintaining high engineering standards.