Engineering Manager (Data Platform)

• As the Engineering Manager for the Data Team, you will lead a high-impact team of data engineers responsible for the foundation of Crusoe’s AI and cloud intelligence. You will bridge the gap between technical execution and business strategy, ensuring our data infrastructure is scalable, reliable, and provides actionable insights for our climate-aligned energy and AI operations
• Your success will be measured by the growth of your engineers, the reliability of our data platform, and your ability to execute a roadmap that supports Crusoe’s mission-critical data needs
• Team Leadership & Mentorship: Manage, coach, and grow a team of data engineers. Conduct regular 1:1s, provide career development guidance, and foster a culture of high performance and psychological safety
• Strategic Roadmap: Partner with Product, Data Science, and Cloud Leadership to define the long-term vision and quarterly OKRs for the data platform
• Technical Oversight: While you may not be writing code daily, you will participate in design reviews and ensure the team is building scalable, maintainable architectures (Data Lakes, Warehouses, and ETL frameworks)
• Operational Excellence: Drive engineering best practices, including CI/CD, data quality monitoring (observability), and incident management processes
• Recruitment: Lead the hiring process to scale the team, focusing on attracting diverse, world-class engineering talent
• Cross-Functional Partnership: Act as the primary point of contact for data stakeholders across the company, ensuring the data team is unblocked and focused on the highest-priority initiatives

Benefits

• Health & wellbeing: Comprehensive health benefits designed to support your overall wellness
• Time away: Paid time off for vacations, family bonding, and unexpected needs
• 401(k) match: Build your financial future with our 401(k) matching program
• Mental wellness: Resources and support for your emotional wellbeing and navigating life’s challenges- Technical Depth: A strong background in the modern data stack (Python, SQL, Airflow/Dagster, BigQuery/Snowflake,Kafka, Flink) and cloud infrastructure (GCP/AWS). You should be able to lead deep-dive technical discussions
• Analytical Thinking: Experience building data-driven cultures where decisions are backed by metrics and rigorous testing
• Leadership Experience: 5+ years of experience managing engineering teams, with a total of 7+ years in data engineering or software engineering
• Execution Focus: Proven track record of delivering complex, multi-quarter technical projects on time and at high quality
• Communication: Exceptional ability to translate complex technical challenges into business impact for stakeholders and executives
• People-First Mindset: A passion for mentorship and a demonstrated ability to help engineers level up in their careers
• Experience with bare metal, hyperscaler clouds, or GPU infrastructure
• Deep familiarity with AI/ML data requirements or high-performance computing (HPC) environments
• Experience at a high-growth startup where you had to “build the plane while flying it.”