Lead Data Platform Engineer — AI & Snowflake Architect

Medium; New York (NY); Hybrid; USD 195,000 - 215,000; Full time

Benefits offered by this job

Hybrid work environment

Work from anywhere

Healthcare plans

Vision and dental

Parental Leave

401(k) Matching

Paid Time Off

Professional Growth Budget

Employee referral program

Job summary

TodayTix Group in the greater NYC area is seeking a Lead Data Engineer to own and scale our data platform—dbt projects, CI/CD, and Snowflake infrastructure. You will shape architecture, lead a team, and partner with product, growth, finance, and CX to model new sources cleanly.

You'll focus on design, strategy, and cross‑functional leadership while hands‑on modeling is a minority. AI integration and responsible data practices are central to our roadmap.

Qualifications

• 8+ years in data engineering (or software engineering with a heavy data bent), including leading a team.
• 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.
• Cloud data warehouse depth. Hands-on experience with Snowflake or a comparable MPP warehouse (Redshift, BigQuery).
• Experience scaling a data platform through growth — onboarding new business units, acquisitions, or data sources onto an existing model without rearchitecting from scratch.
• Full-stack data platform judgement. Comfortable across ingestion (CDC/replication from operational databases, event pipelines), transformation (dbt), and consumption (BI tools, reverse ETL, AI/agent access).
• Strong architecture and code review. You set technical direction for the warehouse and give review that makes engineers better.
• Stakeholder management. You partner with product, finance, growth, and CX — translating messy source data into models people trust, and setting expectations as priorities shift.
• A product and business mindset. You measure success by the decisions your data enabled, not rows modeled.
• 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.

Responsibilities

• Own the data platform end-to-end — the dbt project (staging intermediates marts), CI/CD, and the Snowflake infrastructure it runs on.
• Design and lead the onboarding of new data sources onto the platform as TTG scales, so growth doesn’t mean architectural debt.
• Partner with data consumers — product, growth, finance, CX, and incoming portfolio teams — to model new sources cleanly rather than bolt them on under deadline pressure.
• Run intake and prioritization across a high‑demands roadmap where reporting, growth analytics, and AI‑tooling initiatives compete for the same team’s time — sequence against business objectives, and say no well.
• Protect data quality systematically — dbt tests, contract‑enforced schemas, and CI that catches breaking changes before they reach a dashboard or an AI agent.
• Set technical direction for the warehouse and give the kind of code review that makes data engineers better.
• Lead and grow the team — 1:1s, feedback, and career development.
• Build the factory, not just the models: keep pushing AI into how the team works, and support the org’s growing use of AI agents as direct consumers of the warehouse you build.

Skills

Leadership experience

SQL

dbt expertise

Cloud data warehouse

Data modeling

Architecture

Stakeholder management

AI fluency

Tools

Snowflake

dbt

Looker/LookML

GitHub Actions

Job description

TodayTix Group in the greater NYC area is seeking a Lead Data Engineer to own and scale our data platform—dbt projects, CI/CD, and Snowflake infrastructure. You will shape architecture, lead a team, and partner with product, growth, finance, and CX to model new sources cleanly.

You'll focus on design, strategy, and cross‑functional leadership while hands‑on modeling is a minority. AI integration and responsible data practices are central to our roadmap.