Director of Engineering, Data Infrastruture

HubSpot is an AI-powered customer platform that helps organizations grow better. As the Director of Engineering for Data Infrastructure, you will lead a team focused on core data systems and processing, shaping the infrastructure that supports over 170 product teams.

Responsibilities:

• Lead a high-impact organization of ~35 engineers, directly overseeing three Engineering Leaders and one Tech Lead across HBase, Processing (Kafka/Streaming), MySQL/Vitess, and Caching & Coordination
• Drive technical vision by defining the roadmap for core data stores (HBase, MySQL/Vitess) and processing engines (Kafka, Streaming, Batch) to meet the demands of a business scaling to 100 billion messages a day
• Enable 170+ autonomous product teams to leverage datastores-as-a-service with simplicity, speed, and reliability
• Pioneer agentic infrastructure by leading the shift toward an “agentic” model, where customers interact with intelligent agents to manage complex, high-risk systems
• Ensure strong data governance by leading compliance, privacy, encryption, and proactive risk management practices, including HIPAA-aligned standards
• Foster technical excellence by coaching and mentoring teams on high-level software design and technical strategy
• Collaborate cross-functionally to build strong relationships from individual contributors to executives, aligning infrastructure strategy with business needs
• Cultivate an inclusive, high-performing engineering culture that prioritizes innovation, reliability, and developer experience

Requirements:

• Deep technical expertise in data storage and processing at scale, with comfort engaging in architecture discussions across systems like HBase, Vitess, and Kafka
• Proven leadership experience managing managers and scaling organizations of 30+ people
• Strong track record of building trust, respect, and empathy while delivering clear, direct feedback
• Strategic mindset with the ability to balance long-term technical reliability with product velocity
• Experience shaping infrastructure platforms that support multiple teams at scale
• Strong cross-functional collaboration and communication skills across technical and non-technical stakeholders
• Commitment to fostering an inclusive team culture and growing diverse engineering teams
• A strong interest or experience in integrating AI/ML into infrastructure (AIOps) to automate detection and response in high-risk data environments
• Familiarity with regulated environments and data governance requirements
• Experience working with cloud-native infrastructure (AWS, Kubernetes)