Manager 1, Engineering - Query Engines CoreAs the Engineering Manager for Query Engines Core, you will lead the team responsible for building the foundation of Datadog's next-generation query engines. This team develops and evolves the core execution engine layer, ensuring high performance, reliability, and scalability across Datadog's core data platforms. You will drive a strategic transformation that unifies query execution capabilities across multiple data models and unlocks new product use cases. This role provides the opportunity to lead open source contributions, shape the future of Datadog's query stack, and grow into a leader at the center of Datadog's data platform strategy.At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them.What You'll Do:
Lead and Manage Team: Oversee a team of engineers, providing mentorship and fostering their professional growth while ensuring high performance.
Advance Query Execution Engines: Drive the maturity and adoption of Datadog's DataFusion-based execution layer to deliver reliable, high-performance query execution across multiple data platforms.
Collaborate with Stakeholders: Partner with product and platform teams to align on a unified query system strategy that empowers Datadog's broad data ecosystem.
Guide Open Source Contributions: Lead the team's impactful contributions to open-source projects such as Apache DataFusion, Arrow, and Substrait.
Ensure System Reliability: Own the scalability, reliability, and performance of distributed systems critical to query execution.
Foster Engineering Culture: Promote a culture of pragmatic problem solving, precision, and continuous improvement within the team.
Who You Are:
Proven Management Experience: Minimum of 2 years managing engineering teams, with a strong focus on mentoring, developing talent, and growing high-performing teams.
Distributed Systems Expertise: Strong technical background with experience building and maintaining distributed, high-availability systems.
Effective Collaborator: Skilled at working across organizational boundaries and time zones to align product and platform stakeholders.
Relevant Domain Knowledge: Familiarity with query engines, databases, or performance optimization is preferred but not required.
Technical Proficiency: Comfortable with systems programming languages such as Rust; open-source contributions are a plus.
Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you're passionate about technology and want to grow your skills, we encourage you to apply.Benefits and Growth:
New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
Continuous professional development, product training, and career pathing
Intradepartmental mentor and buddy program for in-house networking
An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
Access to Inclusion Talks, our Internal panel discussions
Free, global mental health benefits for employees and dependents age 6+
Competitive global benefits
Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
