Data Warehouse Tech Lead

Job description

We're looking for a Data Warehouse Tech Lead to drive the technical vision and execution of our data infrastructure that powers decision-making across all of Lemonade. You'll lead both the technology and the business coordination for our data warehouse — architecting scalable solutions while working closely with stakeholders and data providers to ensure our platform serves the entire organization's needs. This role combines deep technical leadership with strategic business partnership as we build Lemonade's next-generation data stack. We believe three things matter for every role at Lemonade: *drive* to push through challenges, *efficiency* that keeps standards high while moving fast, and *adaptability* that lets you pivot with data and AI insights. These aren't buzzwords, they're how we actually work. Our AI-first approach isn't just a tagline either. We're building the future of insurance with AI at the center, and we need people who are genuinely excited to learn and grow alongside these tools. ## **In this role you'll** - Lead technical architecture — design and develop scalable data warehouse solutions that support multiple products and serve the entire organization's analytics needs - Manage the technical roadmap — set strategy and guide execution for the Data Warehouse team, ensuring our platform evolves with business requirements - Drive business process coordination — translate business needs into technical requirements while establishing clear data contracts with R&D, Analytics, and external data providers - Establish and implement best practices — set technical standards for data warehouse architecture, performance tuning, and development methodologies that guide the entire team's approach to building scalable data solutions - Create and maintain sustainable data pipelines — build resilient systems capable of handling unstructured data and managing an evolving schema registry across diverse data sources - Implement advanced data modeling — create robust data structures using methodologies like dimensional modeling, and optimize ETL/ELT processes for our semantic layer - Establish data quality standards — build processes for schema evaluation, anomaly detection, and monitoring data completeness and freshness across all sources - Lead cross-team collaboration — work directly with Data Engineers, ML Platform Engineers, Data Scientists, Analysts, and Product Managers to align technical solutions with business goals ## **What you'll need** - 7+ years as a BI Engineer or Data Engineer, with 2+ in a technical leadership or architect role - Proven experience managing complex data warehouses that serve multiple products and entire organizations - Strong expertise in data modeling, ELT development, and data warehouse methodologies - Advanced SQL skills and hands-on experience with Snowflake or similar cloud-native data warehouse platforms - Extensive experience with dbt for data transformation and modeling - Python and software development experience (a strong plus) - Excellent communication skills — you can mentor technical team members and explain complex data concepts to business stakeholders - Ready to work in an office environment most days of the week - Enthusiasm about learning and adapting to the exciting world of AI – a commitment to exploring this field is a fundamental part of our culture