Senior Manager, Data Engineering, AWS Analytics Engineering

What you'll do

• Build and develop the team, including hiring, performance management, and career growth; set its technical vision and delivery roadmap.
• Own delivery and trustworthiness of data solutions across 3–5 domains, including quality, governance, compliance, and operational excellence.
• Coordinate with technical and business stakeholders, manage priorities and dependencies, and represent the team in business and technical reviews.

What they ask for

• Bachelor's degree.
• 10+ years of data engineering experience with 5+ years in engineering management roles leading data engineering teams.
• Experience managing teams of 15–25+ engineers across multiple levels (L4–L6), including hiring, developing, and promoting senior engineers.
• Deep hands-on data engineering experience, stakeholder management, executive communication, roadmap ownership, AWS data services or equivalent cloud data platforms, and operational excellence.

Nice to have

• Experience leading platform modernization, org-wide data standards, or AI/ML adoption in data engineering.
• Experience with Redshift, Bigdata architecture, talent sourcing, cost optimization, or multi-account AWS security, compliance, and governance.

Pay

202,300.00 - 273,700.00 USD annually (base salary)

Tools

Redshift, S3, Glue, EMR, Kinesis, Lambda, serverless, Iceberg

AI focus

Lead modernization, including adoption of AI/ML-assisted data engineering where it adds value; preferred experience includes agentic frameworks, LLM-assisted development, and automation.