Senior Manager, Data Engineering

📋 Description

• Lead and develop the team: Recruit, coach, and retain talented data engineers. Set clear
• Define the roadmap and deliver results: Translate business objectives into a prioritized data
• Own data architecture: Establish and evolve the architecture for data ingestion, warehousing
• Build reliable data pipelines: Ensure data pipelines meet defined service-level agreements
• Develop secure data access capabilities: Oversee the design and implementation of the platform's
• Prepare data for AI agents: Build governed, agent-ready data capabilities that allow AI systems to

🎯 Requirements

• Professional experience: At least 10 years of experience in software engineering or data
• People leadership: A proven record of recruiting strong engineers, developing talent, building
• Enterprise data architecture: Deep experience designing and leading enterprise data architectures
• Modern data technologies: Hands-on experience with modern data warehouses and transformation
• Backend engineering: Working proficiency in at least one backend programming language, such as
• Agentic engineering: Demonstrated experience using coding agents beyond basic prompting and

🎁 Benefits

• Remote work: Remote position based in the United States.
• Paid time off: Unlimited PTO.
• Healthcare: Medical, dental, and vision coverage.
• Parental leave: Paid parental leave.
• Retirement: Retirement plans.
• Career development: A promote-from-within culture that emphasizes talent development and career