Jump
Technology
DataPlatformLead
Neural analysis suggests this role is
optimal for Lead candidates.
“Data Platform Lead at Jump. Skills: Data platform, Data engineering, AI on data, Multi-tenant data. Own data platform strategy. Define ingestion architecture”
Industry & Context.
Troubleshooting; Root cause analysis
What They're Looking For.
Must Have
8+ years in data engineering, 2+ years in leadership role, Manage and develop engineers, Clear communicator, Develop talent, Give direct feedback, Build high-performance culture, Hands-on experience cloud data warehouse, Hands-on experience transformation stack, Proven experience building AI, Deep expertise data ingestion at scale, Experience building productized data offering, Solid engineering fundamentals, Version control, Code review, CI/CD, Infra-as-code
Nice to Have
Direct Snowflake + dbt experience, Advanced in-warehouse AI capabilities, Agent-accessible data patterns, ML or MLOps experience, Feature stores, Training pipelines, Model evaluation, AWS fluency, IAM, S3, Lambda, Glue, Modern BI tooling, Self-serve analytics delivery, Sports background, Live events background, Time-series experience, EU data residency, GDPR, Multi-region warehouse patterns
What You'll Do.
Own data platform strategy
Define ingestion architecture
Build scalable infrastructure
Manage transformation pipelines
Develop modern BI layer
Grow platform with clients
Grow platform with data sources
Drive AI-on-data layer
Define agent/LLM access
Define semantic models
Define retrieval patterns
Define in-warehouse AI primitives
Build productize integrations motion
Ingest data from sources
Make custom work repeatable
Lead data engineering team
Set technical direction
Define engineering standards
Implement infra-as-code
Implement data lineage
Implement observability
Scale platform without fragility
Be hands-on on warehouse
Contribute to transformation layer
Partner with go-to-market teams
Define client onboarding
Drive engineering execution
How You'll Work.
Team & Collaboration
Partner with AI engineer; Work across Product; Work across Engineering; Work across go-to-market; Partner with GTM teams
Communication Scope
Clear communicator
Process & Methodology
CI/CD, Infra-as-code
Full Job Description
Description Jump is transforming the live sports experience with the only end-to-end fan engagement platform built specifically for sports teams and venues. By focusing on aligned incentives between teams and fans, our platform unifies ticketing, merchandise, and game day operations - creating a smoother, more fan-friendly experience. Founded in 2021 by e-commerce innovator Marc Lore, MLB legend Alex Rodriguez, and entrepreneur Jordy Leiser, we’ve raised $60 million from top investors including Alexis Ohanian’s Seven Seven Six and Forerunner Ventures. Our platform powers teams across the NBA, WNBA, and NWSL helping them boost ticket sales and deliver innovative fan experiences. We’re a remote-first team driven by core values - begin and build with trust, play like the underdog, win as a team, and do your thing. If you’re collaborative, adaptable, and eager to shape the future of live sports, Jump is the place for you. The Role Jump's data platform is at an inflection point. What started as an internal capability now powers the analytics and insights our clients rely on every day. We're turning it into a full product: scalable, multi-tenant data infrastructure, an expanding library of integrations pulling from a growing set of first- and third-party data sources, and an AI intelligence layer that transforms raw data into actionable decisions. As Data Platform Lead, you'll own the vision and execution of that platform. You'll lead and grow our data engineering team, partner closely with our AI engineer to shape how agents and LLMs consume and act on our data, and work across Product, Engineering, and go-to-market teams to build something that scales — not a series of one-off implementations. The platform you build here will become core infrastructure for how our clients run their business. What You'll Do - Own the data platform strategy end-to-end — from ingestion architecture and scalable, multi-tenant data infrastructure to transformation pipelines, a modern BI laye
Applying for this Data Platform Lead role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Ashby
- Ashby is a fast modern ATS — most applications take under 3 minutes.
- The resume parser is strong; verify parsed experience dates and job titles.
- Custom screening questions are often scored algorithmically — answer completely.
- Location field affects geo-based screening; use your actual metro area.
ANONYMOUS · UNFILTERED
What do employees actually say about Jump?
Real rants from real employees. Read before you apply.