FREE ACCESS
5,000–10,000 jobs/day
See all jobs on JobTailor
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.

Lead Data Engineer
TodayTix Group (TTG)Lead Data Engineer at TodayTix Group owning the data platform for live entertainment e-commerce. Fostering technical leadership and managing engineering team in a growth-oriented environment.
Posted 7/24/2026full-timeNew York City • New York • 🇺🇸 United StatesSenior💰 $195,000 - $215,000 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading data engineering teams and managing data platforms, with a strong focus on SQL, dbt, and Snowflake. Capable of driving data quality, stakeholder management, and integrating AI into data processes.
Highest-signal resume keywords
Data Engineering LeadershipDeep SQL ExpertiseDbt ProficiencySnowflake ExperienceAI Fluency
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
SQLDbtData Platform ScalingArchitecture DesignCode Review
Soft Skills
Stakeholder ManagementTeam LeadershipFeedback and Career Development
Tools & Technologies
SnowflakeRedshiftBigQuery
Industry Keywords
Data QualityCI/CDData ModelingData WarehouseProduct Mindset
Tech Stack
Tools & technologiesAmazon RedshiftBigQuerySQL
About the role
Key responsibilities & impact- 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.
- Partner with data consumers — product, growth, finance, CX, and incoming portfolio teams — to model new sources cleanly.
- Run intake and prioritization across a high-demand roadmap.
- Protect data quality systematically — dbt tests, contract-enforced schemas.
- Set technical direction for the warehouse and give 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.
Requirements
What you’ll need- 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.
- Deep SQL and dbt expertise.
- Hands-on experience with Snowflake or a comparable MPP warehouse (Redshift, BigQuery).
- Experience scaling a data platform through growth.
- Full-stack data platform judgment.
- Strong architecture and code review.
- Stakeholder management.
- A product and business mindset.
- AI fluency.
- *You don't need to tick every box. If most of this sounds like you, we'd love to hear from you.*
Benefits
Comp & perks- Hybrid work environment (blend of in-office and at-home days)
- Up to 4 weeks per year of flexible 'work from anywhere'
- Healthcare, vision, and dental plans, with generous contributions from the company
- Life and disability insurance
- Paid Parental Leave
- Generous 401(k) Matching
- Flexible Paid Time Off
- Free membership to One Medical Group & Employee Assistance Program
- Annual Professional Growth Budget
- Employee donation matching
- Employee Referral Program
- Pre-Tax Flexible healthcare spending account (FSA), Dependent Care FSA and Commuter Benefits