Staff Data Engineer

🕒 vor 1 Monat

🌲 North Carolina – Remote

🌲 North Carolina – Remote

💵 $216.000 / Jahr

⏰ Vollzeit

🔴 Experte

🚰 Dateningenieur

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Teamworks

WebsiteLinkedInAlle Stellen

501 - 1000 Mitarbeiter

Gegründet 2005

⚽ Sport

☁️ SaaS

🤖 Künstliche Intelligenz

💰 €235.000.000 Series F - Teamworks im 2025-06

Sports • SaaS • Artificial Intelligence

Teamworks ist ein SaaS-„Betriebssystem für den Sport“, das Kommunikation, Personalmanagement, Terminplanung, Leistungsüberwachung, Coaching, Compliance, Inventar, Ernährung und andere Operationen für professionelle, universitäre, olympische/NGB- und militärische/taktische Teams vereinheitlicht. Die Plattform zentralisiert Workflows, Dateifreigaben, automatisierte Prozesse und KI-gesteuerte Analysen (Teamworks Intelligence), um Talentakquisition, Kaderaufbau, Athletenbewertungen und Spielstrategien zu informieren. Teamworks unterstützt tausende Teams und Hunderte von Universitätsabteilungen und professionellen Organisationen weltweit, um Organisationen bei der Koordination von Mitarbeitern und Athleten, der Optimierung von Abläufen und der Leistungssteigerung zu helfen.

Beschreibung

• Define the technical architecture and platform standards for our lakehouse on AWS: distributed cloud architecture, schema conventions, multi-tenant isolation, and integration design • Lead design and delivery of the production pipelines that consolidate performance and product data, and own data modeling for complex entities (time-series, hierarchical, multi-source) so the models serve products, analytics, and ML • Introduce just enough data governance, ownership, and stewardship to raise our data maturity, and lay the catalog and semantic-layer foundation that analytics, ML, and AI agents can reason over • Author and maintain the Data Platform playbook (reusable patterns, ADRs, runbooks, Terraform modules) with data quality and reliability built in, so product teams can self-serve new datasets and integrations • Lead delivery end to end, from requirements and planning through coordinating workstreams and translating status to senior leadership and non-technical partners • Mentor engineers across levels, raise the bar through design review and on-call ownership, and be the engineering voice shaping the platform roadmap

🎯 Anforderungen

• 10+ years of data engineering or related experience, with strong Python for pipelines, transformations, and platform tooling • Deep expertise designing, operating, and setting direction for lakehouse platforms (Delta Lake, Iceberg, or Hudi) and modern processing engines (Spark, Databricks, Trino, or Snowflake) at production scale, with the judgment to make the hard tradeoffs and troubleshoot them • Expert AWS and distributed cloud architecture experience (S3, IAM, Glue, EMR/Lambda, networking), fluent writing Terraform and the best practices for implementing those designs • Deep data modeling and schema design for complex entities (time-series, hierarchical, multi-source) in multi-tenant environments, across multiple systems you've built (warehouses, lakehouses, relational), plus proven integration standards across teams (event-driven, API, batch) • Track record of standing up or significantly maturing a data platform from ambiguous goals, including the organizational work of aligning leaders and teams and communicating decisions to senior and non-technical stakeholders through RFCs and ADRs • Familiarity with how data governance, ownership, and stewardship programs are introduced, and the judgment to apply just enough to raise data maturity without over-engineering it

🏖️ Vorteile

• Offers Equity • Offers Bonus