Data Platform Lead

Vaga não está no LinkedIn

🕒 Junho 4

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $210.000 / ano

⏰ Tempo Integral

🟠 Sênior

🚰 Engenheiro de Dados

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Jump

SiteLinkedInTodas as Vagas

11 - 50 funcionários

Fundada em 2021

⚽ Esportes

☁️ SaaS

🤝 B2B

Sports • SaaS • B2B

A Jump é uma plataforma de experiência de fã de ponta a ponta dedicada à indústria esportiva. A empresa se especializa em ajudar clubes esportivos a aumentar sua receita criando relacionamentos duradouros com os fãs. A Jump fornece soluções de software abrangentes, incluindo venda primária de ingressos e aplicativos e sites de fãs com marca própria, para gerenciar inventário, controle de acesso e otimizar a experiência do torcedor. Tendo colaborado com mais de 70 equipes de grandes ligas como NBA, NHL, NFL, MLS e MLB, a Jump é construída especificamente para atender às necessidades únicas de equipes esportivas e seus torcedores. A plataforma visa expandir as bases de fãs, aumentar a receita por fã e melhorar o engajamento dos torcedores em eventos ao vivo.

Descrição

• 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. You'll 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.

🎯 Requisitos

• 8+ years in data engineering, with at least 2 years in a leadership role • 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 — you've 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.

🏖️ Benefícios

• 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 • $1,000 reimbursement for work-from-home tech setup • Company-paid sustainability subscription to ensure carbon neutrality is maintained for employee activities, such as travel