Engineering Manager, Data Cloud

Skills

About the Role

You will lead, coach, and develop a team of six engineers spanning streaming, data lakehouse, serving layer, and platform infrastructure, bringing genuine curiosity to each domain. You'll serve the team by removing obstacles, shielding them from organizational noise, and making sure they have what they need to ship. You'll own the quarterly plan and sprint-level execution, translating OKRs into milestones with clear owners, timelines, and success criteria, keeping them updated without being asked. You'll coach each engineer toward their next level with specific plans, timely feedback, and active promotion sponsorship. You'll champion engineering best practices like design reviews, ADRs, blameless post-mortems, automated testing, and data quality as a first-class citizen. You'll manage the on-call rotation and incident response process so reactive work doesn't consume the team's capacity to build. You'll build an understanding of the data cloud architecture to ask better questions, anticipate risks, and have credible conversations with stakeholders. You'll foster a culture of curiosity and continuous learning, hire exceptional talent, and drive AI adoption across the team's engineering workflows, acting as a role model for integrating AI tools into daily development, code review, documentation, and debugging.

Requirements

• Managed a team of 5–10 engineers building data infrastructure, data platforms, or backend systems at scale
• A software or data engineering background with ability to read a Terraform plan and follow a streaming architecture discussion
• A track record of developing people including coaching engineers to promotion
• Strong execution habits including creating and maintaining project timelines
• Ability to communicate clearly with stakeholders including VPs
• Collaborative instincts and experience working cross-functionally with Product and other teams
• Interest in or curiosity about cryptocurrency and blockchain technology
• Proactive mindset toward AI-assisted engineering with experience using tools like Copilot, Claude, ChatGPT, or Cursor

Responsibilities

• Lead, coach, and develop a team of 6 engineers spanning streaming, data lakehouse, serving layer, and platform infrastructure
• Serve the team by removing obstacles, shielding them from organizational noise, and ensuring they have what they need to ship
• Own the quarterly plan and sprint-level execution: translate OKRs into milestones with clear owners, timelines, and success criteria
• Coach each engineer toward their next level, with specific plans, timely feedback, and active promotion sponsorship
• Champion engineering best practices: design reviews, ADRs, blameless post-mortems, automated testing, and data quality
• Manage the on-call rotation and incident response process
• Build an understanding of the data cloud architecture to ask better questions and anticipate risks
• Foster a culture of curiosity and continuous learning
• Hire exceptional talent to grow the team with a focus on diversity and raising the bar
• Drive AI adoption across the team's engineering workflows