Hybrid Data Engineering Manager

Posted last month

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About the role

  • Lead, mentor, and grow a team of skilled data engineers
  • Oversee the development of robust, scalable data pipelines on AWS and Snowflake
  • Support architectural decisions and enforce best practices in data engineering, automation, CI/CD, and agile delivery
  • Align engineering delivery with business objectives by working closely with Product, Analytics, and Data Governance teams
  • Communicate technical decisions clearly to both technical and non-technical stakeholders
  • Advocate for reliable, scalable, and modern data solutions across the organization

Requirements

  • Proven track record of managing high-performing, distributed data engineering teams
  • Passion for coaching, mentoring, and creating structured career pathways
  • Strong ability to foster a psychologically safe, empowering team environment
  • Deep knowledge of modern data architectures (Data Lake, Lakehouse, Data Mesh)
  • Strong experience with cloud platforms — ideally AWS and Snowflake
  • Hands-on proficiency with Python, SQL, and tools like Airflow, dbt, or AWS Glue
  • Experience with event-driven systems (Kafka, Kinesis), infrastructure-as-code (Terraform), and data observability
  • Background in data modeling and building scalable, maintainable solutions
  • Experience delivering data solutions in Agile environments (Scrum, Kanban)

Benefits

  • Health insurance
  • Professional development opportunities
  • Flexible working hours
  • Paid time off

Job title

Data Engineering Manager

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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