ES
ESPN· Hauptsitz in Bristol, Connecticut

Lead Data Architect

Ort: 3 Locations · Bereich: Data, AI & Analytics · Level: Lead · Veröffentlicht: 1. September 2026 · Geprüft: 1. Sept. 2026

Rollenübersicht & Beschreibung

Leads enterprise data architecture design and strategy, driving the development of scalable data solutions across the organization. Partners with engineering and data teams to define data models, best practices, and platform standards.
Hiring Telemetrie · Expansions-Signal

Team-Wachstum & Marktbewegung von ESPN beobachten

Polaris7 aggregiert offene Vakanzen, strategische Marktbewegungen und M&A-Signale in Echtzeit. Erhalte automatische Signal-Briefings zu ESPN und vergleiche das Ökosystem mit direkten Wettbewerbern.

Quellenhinweis & Transparenz: Diese Position wurde direkt über das öffentlich zugängliche Karriereportal von ESPN erfasst. Maßgeblich sind die Angaben auf der Original-Stellenausschreibung des Arbeitgebers. Polaris7 erhebt keine Vermittlungsgebühren und führt kein Bewerber-Screening durch.
UnternehmensanalyseProfil aktiv
ES

Sportmedien-Netzwerk, das Digital Publishing, Streaming, TV-Übertragungen und Fantasy Games umfasst.

Hauptsitz: Bristol, Connecticut

Ähnliche Positionen im DACH-Ökosystem

Verwandte Rollen und Profile aus dem AdTech-, Media- und Datenmarkt

Prüfung geplantLondon, United KingdomEngineering & SoftwareentwicklungLead

This engineering-first, developer-architect role owns the technical design of Azure-first data and AI platforms, defining reusable patterns and reference architectures. The Lead Architect will spend 70-80% of their time designing solutions, building and packaging reusable patterns, and prototyping new concepts in code, with the remaining time in client-facing advisory. This role requires production fluency with Terraform, deep Azure data platform experience, and hands-on AI solution design including RAG and agentic workflows.

Veröffentlicht 21. Aug. 2026
Prüfung geplantHouston, TexasData, AI & AnalyticsLead

This senior principal role designs and architects the enterprise data platform, focusing on scalability, reliability, and integration with cloud services. The architect will define technical standards and collaborate with data engineering teams to support analytics and AI initiatives.

Veröffentlicht 9. Sept. 2026
Vor 4 Wochen verifiziertAtlanta GAData, AI & AnalyticsLead

This senior lead role designs and oversees the data engineering architecture, building scalable pipelines and data models, requiring deep expertise in big data technologies and cloud platforms, and leads a team of engineers to deliver high-quality data solutions.

Veröffentlicht 7. Okt. 2026
Heute verifiziertBengaluru, Karnataka, IndiaData, AI & AnalyticsSenior

This role analyzes and optimizes LinkedIn's infrastructure operations, using large datasets to develop metrics and provide insights that improve efficiency and reduce costs. The analyst collaborates with engineering teams to drive operational excellence and support data-driven decision-making.

Veröffentlicht 4. Nov. 2026

Weitere Positionen bei ESPN

3 weitere offene Stellen

Prüfung geplantBristol, CT, USACustomer Success & Client OperationsMid-Level

The Coordinator of Client Services supports the ad sales team by managing client relationships, trafficking campaigns, and resolving operational issues. This role ensures seamless execution of advertising campaigns across ESPN's linear and digital platforms.

Veröffentlicht 1. Sept. 2026
Prüfung geplantNew York, NY, USACustomer Success & Client OperationsJunior / Berufseinstieg

This Media Coordinator role supports media planning and campaign operations within a media/advertising organization. Responsibilities likely include coordinating ad trafficking, managing schedules, and supporting sales or marketing teams. Requires strong organizational skills and attention to detail.

Veröffentlicht 1. Sept. 2026
Prüfung geplantLake Buena Vista, FL, USACustomer Success & Client OperationsPraktikum / Werkstudent

This intern role supports quality operations and system auditing processes, focusing on monitoring and improving operational quality standards. Responsibilities likely include data collection, audit preparation, and process documentation to ensure compliance and efficiency.

Veröffentlicht 1. Sept. 2026