Lead Data Engineer

Join TodayTix Group as a Lead Data Engineer and take ownership of scaling our data platform. In this technical leadership role, you will lead the team responsible for the entire data project lifecycle, from staging to intermediates to marts, as well as the CI/CD pipeline and Snowflake platform. You will design how the platform absorbs growth, partner with data consumers, protect data quality, set technical direction, lead and grow the team, and push AI into how the team works. This is a remote-friendly position with a hybrid work environment and a range of benefits.

• Lead the team responsible for the end-to-end project ownership of the data platform, including staging, intermediates, and marts, as well as the CI/CD pipeline and Snowflake platform.
• Design and lead the onboarding of new data sources onto the platform as the organization scales, ensuring that growth does not result in architectural debt.
• Run intake and prioritization across a high-demand roadmap where reporting, growth analytics, and AI-tooling initiatives compete for the same team’s time, sequencing against business objectives.
• If you thrive in a fast-moving, high-ownership environment, measure your impact by the team’s, not just your own, and care as much about business impact as technical craft, we’d love to hear from you — especially if, like the rest of the team, you reach for AI by default
• AI fluency. You already reach for AI to write and review data models, and you’re comfortable with AI agents as first-class consumers of the warehouse you build
• Full-stack data platform judgment. Comfortable across ingestion (CDC/replication from operational databases, event pipelines), transformation (dbt), and consumption (BI tools, reverse ETL, AI/agent access) — even where you’re not the one writing every layer
• Cloud data warehouse depth. Hands-on experience with Snowflake or a comparable MPP warehouse (Redshift, BigQuery)
• Deep SQL and dbt expertise. You’ve built and scaled a dbt project in production — models, tests, macros, contracts — and reason about warehouse cost and performance, not just correctness
• Experience scaling a data platform through growth — onboarding new business units, acquisitions, or data sources onto an existing model without rearchitecting from scratch. (M&A / multi-entity data integration experience is directly relevant given the evolving company structure.)
• A track record of leading engineers. 8+ years in data engineering (or software engineering with a heavy data bent), including leading a team — formally or informally — and growing the engineers around you. This is the core of the role
• You don't need to tick every box. If most of this sounds like you, we'd love to hear from you
• A product and business mindset. You measure success by the decisions your data enabled, not rows modeled
• Stakeholder management. You partner with product, finance, growth, and CX — translating messy source data into models people trust, and setting expectations as priorities shift
• Strong architecture and code review. You set technical direction through sound data-model design and give review that makes engineers better
• Experience with a customer data platform (CDP) and identity resolution across multiple event sources — directly relevant to unifying data across our portfolio companies
• Experience with AWS DMS or another CDC/replication tool feeding a warehouse from an operational database (MySQL, Postgres)
• Experience with Looker/LookML or another BI semantic layer
• Experience building or supporting AI/LLM-facing data products — a chatbot, a RAG pipeline, an agent with database access
• Experience in e-commerce, ticketing, or a marketplace business with high-cardinality partner/catalog data
• Experience with GitHub Actions-based CI/CD for data pipelines