Senior Data Engineering (Tech Lead)

The Product Intelligence team serves a critical role by providing business intelligence to the organization: we synthesize data sources across the company, delivering product usage and business insights that directly shape product strategy and decision-making. 

We are looking for a Senior Data Engineering (Tech Lead) to lead our team of data engineers and to bring your experience and vision in data warehouse design, data modeling, and data visualization. We are seeking an individual with a strong data background but also an AI-first mentality, who can drive our current initiatives to leverage AI for accelerating modeling and dashboarding tasks, as well as exposing our telemetry data to stakeholders across the company in the form of an AI agent and MCP. 

What you’ll do 

• Partner with the Product Manager to shape the roadmap, refine scope, and define clear, actionable acceptance criteria. 
• Own the technical architecture for data warehousing, data modeling, and data access patterns. 
• Lead the team technically to design, implement, deliver, and validate scalable data pipelines and reporting solutions. 
• Drive the design and evolution of the analytics layer, including semantic modeling and dashboarding within BI tools. 
• Define and implement an AI-first approach to data, including AI-assisted workflows for modeling, analysis, and dashboard creation. 
• Architect and deliver an AI-powered interface (agent) that enables stakeholders to access and explore telemetry data in a self-service manner. 
• Enable integration of telemetry insights into internal tools and workflows by providing and maintaining supporting capabilities (e.g., MCP or equivalent interfaces). 
• Establish data engineering standards, best practices, and measurable quality indicators to ensure high-quality, maintainable code. 
• Ensure scalability, reliability, and performance of data platforms, pipelines, and analytics workloads. 
• Mentor and support data engineers through technical guidance, code reviews, and knowledge sharing. 
• Promote an agile, iterative engineering culture and actively contribute to team ceremonies.