Data Platform Lead

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 weve raised $60 million from top investors including Alexis Ohanians 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.

Were 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 youre collaborative adaptable and eager to shape the future of live sports Jump is the place for you.

The Role

Jumps 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. Were 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 youll own the vision and execution of that platform. Youll 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 Youll Do

• Own the data platform strategy end-to-end from ingestion architecture and scalable multi-tenant data infrastructure to transformation pipelines a modern BI layer and how the platform grows as we add clients and data sources.

• Drive the AI-on-data layer. Partner with our AI engineer to define how agents and LLMs access query and act on platform data semantic models retrieval patterns and in-warehouse AI primitives.

• Build and productize our integrations motion ingesting data from a growing set of first- and third-party sources. Turn what today requires custom work into a repeatable operable pattern.

• Lead and develop our data engineering team. Youll manage directly set technical direction and raise the bar on quality starting with a tight-knit team with room to grow.

• Define the engineering standards for the data org CI/CD testing infra-as-code data lineage governance and observability so the platform scales without fragility.

• Be a strong hands-on presence on the warehouse and transformation layer fluent enough in Snowflake to contribute meaningfully alongside the team not just oversee it.

• Partner with go-to-market teams to define what great looks like for client onboarding and data delivery and drive engineering execution against that bar.

What Were Looking For

• 8 years in data engineering with at least 2 years in a leadership role you have a proven track record of managing and developing engineers

• Strong people management instincts: clear communicator good at developing talent comfortable giving direct feedback and able to build a high-performance culture even with a small team.

• Hands-on experience with a modern cloud data warehouse and transformation stack Snowflake dbt strongly preferred; Redshift Databricks or BigQuery with a fast ramp is acceptable.

• Proven experience building AI on top of structured data semantic layers agent/LLM access patterns to warehouses or retrieval-augmented generation.

• Deep expertise in data ingestion at scale youve built or owned the systems that pull from many disparate sources into a warehouse. You know when to use an off-the-shelf connector when to build and how to make either one operable at scale.

• Experience building and shipping a productized multi-tenant data offering client isolation onboarding flows SLAs and ongoing support. You think in products not projects.

• Solid engineering fundamentals: version control code review CI/CD infra-as-code and a bias toward standards that teams can repeat not heroics that only you can maintain.

Nice to Haves

• Direct Snowflake dbt experience and familiarity with advanced in-warehouse AI capabilities and agent-accessible data patterns.

• ML or MLOps experience feature stores training pipelines model evaluation and a track record of building tools that extract measurable value from data.

• AWS fluency we run on AWS and comfort with IAM S3 Lambda and Glue is a plus.

• Experience with modern BI tooling and self-serve analytics delivery.

• Background in sports live events or time-series data; experience with EU data residency GDPR or multi-region warehouse patterns.

Attributes that will make you successful on our team

• A strong desire to learn. You continually look for ways to build your skills.

• Tenacity. You enjoy working on challenges that others cant or dont want to tackle and you arent afraid of failing fast in order to find better solutions.

• Passion. You love using your technical skills to build products that solve real problems. You hold yourself to a high standard and help to elevate others as well.

• Empathy. You thrive in an environment where everyone can truly be themselves. You understand that our differing life experiences influence who we are and how we show up and these diverse perspectives enrich both our team and our product.

• Customer-centric mindset. You can understand the problem to be solved and who we are solving it for.

• Innovation: Passion for exploring and implementing AI technologies to enhance automation optimize workflows and drive innovation

Benefits

• Remote first

• Competitive salary and equity

• Flex PTO policy

• 401(k)

• Generous medical dental and vision plans

• 16 weeks paid parental leave for primary and secondary caregivers

• $1000 reimbursement for work-from-home tech setup

• Company-paid sustainability subscription to ensure carbon neutrality is maintained for employee activities such as travel

Compensation

Compensation is something we dont want our candidates or employees to worry about. Our goal is to offer competitive salaries that are regularly benchmarked against the market. The core tenets of our compensation philosophy are fairness and transparency.

We have established a standardized leveling framework based on job scope and responsibilities. The compensation package for each level is standard across all engineering roles. This means that every person at a certain level is paid the same as everyone else regardless of their background previous compensation location or any other factor.

The compensation for this role is $210000 and includes a generous equity package.

Application

Some candidates may see the requirements and feel unsure that they match all the criteria. We encourage you to apply! Theres a good chance you have important skills that we have not stated. We especially encourage members of traditionally underrepresented communities to apply including women nonbinary folx people of color members of the LGBTQ community veterans and people with disabilities. Were committed to building an inclusive workplace where everyone can bring their authentic self and thrive and we value the diversity brought by different life experiences.