Jump

Data Platform Lead

Jump3 weeks ago
Location

Remote (US)

Workplace

Remote

Type

Full Time

Salary

USD 210,000 – 210,000

Level

Senior

Role

Data Platform Lead

Posted

Jun 4, 2026

Full TimeRemoteSenior

The role

Summary

Jump is seeking a Data Platform Lead to drive the strategic development of their innovative data infrastructure, focusing on creating a scalable, multi-tenant platform that powers analytics and insights for sports teams. The ideal candidate will lead data engineering efforts, shape AI integration, and build a robust data ecosystem that transforms raw data into actionable business intelligence.

What you'll do

Data Platform Strategy: Own end-to-end data platform strategy, including ingestion architecture, multi-tenant infrastructure, transformation pipelines, and BI layer development
AI Integration: Drive the AI-on-data layer by defining how agents and Large Language Models (LLMs) access, query, and act on platform data
Integration Development: Build and productize data integration processes, creating repeatable patterns for ingesting first- and third-party data sources
Team Leadership: Lead and develop the data engineering team, setting technical direction and raising team quality and performance standards
Engineering Standards: Define comprehensive engineering standards for the data organization, including CI/CD, testing, infrastructure-as-code, data lineage, governance, and observability

What we look for

Technical

Cloud Data WarehousingExtensive experience with modern cloud data warehouses (Snowflake preferred, Redshift, Databricks, or BigQuery acceptable)
Data TransformationProficiency with dbt (data build tool) for data transformation and modeling
AI Data IntegrationExperience building AI capabilities on structured data, including semantic layers and retrieval-augmented generation

Education

Advanced DegreeBachelor's or Master's degree in Computer Science, Data Engineering, or related technical field preferred

Experience

Leadership Experience8+ years in data engineering, with at least 2 years in a leadership role managing and developing engineers
Data IngestionProven expertise in building scalable data ingestion systems from multiple disparate sources
Multi-tenant PlatformsExperience building productized, multi-tenant data offerings with client isolation and onboarding flows

Skills

Required skills

SnowflakeAdvanced proficiency in Snowflake data warehouse
Data EngineeringComprehensive data engineering skills with focus on scalable infrastructure
Team ManagementStrong people management and technical leadership capabilities

Nice to have

MLOpsExperience with machine learning operations and feature stores
AWSFluency with AWS services like IAM, S3, Lambda, and Glue
Sports DataBackground in sports, live events, or time-series data analysis

Compensation & benefits

Salary

USD 210,000 – 210,000 (annual)

Stock options

Available

Benefits

Remote Work

Fully remote-first work arrangement

Equity

Competitive equity package included in compensation

Flexible PTO

Unlimited paid time off policy

Retirement

401(k) retirement plan

Healthcare

Comprehensive medical, dental, and vision insurance

Parental Leave

16 weeks paid parental leave for primary and secondary caregivers

Tech Setup

$1,000 reimbursement for home office technology setup

Sustainability

Company-paid carbon neutrality subscription

Interview process

  1. 1
    Initial Application Review — Screening of candidate qualifications and background
  2. 2
    Technical Phone Screen — Initial discussion of technical skills and experience with data engineering leadership
  3. 3
    Technical Interview — In-depth technical assessment of data platform and engineering capabilities
  4. 4
    Leadership Interview — Assessment of team management and strategic thinking skills
  5. 5
    Final Executive Interview — Final discussion with senior leadership to assess cultural fit and overall potential
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Jump

Jump

View all jobs

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.

New York, USAFounded 2021jump.com

Tech Stack

Languages
PythonSQL
Frameworks
dbt
Databases
Snowflake
Tools
AWSCI/CD Tools
Other
AI Integration
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