Senior Staff Data Engineer

🕒 Dezembro 19, 2025

🗣️🇺🇸🇬🇧 Inglês obrigatório

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Logo of Fanatics, Inc.

Fanatics, Inc.

1001 - 5000 funcionários

Fundada em 2011

🎮 Jogos

🛒 Varejo

🛍️ Comércio Eletrônico

Gaming • Retail • eCommerce

Fanatics está construindo uma plataforma digital esportiva global líder que tem como objetivo aprimorar a experiência dos fãs para mais de 100 milhões de entusiastas de esportes no mundo todo. A empresa opera em várias divisões, incluindo Fanatics Commerce, Fanatics Collectibles e Fanatics Betting & Gaming. Ela oferece aos fãs a oportunidade de: • comprar produtos licenciados para torcedores, camisas (jerseys), produtos de lifestyle e headwear; • colecionar cards colecionáveis (trading cards) físicos e digitais, memorabilia esportiva e outros ativos digitais; • participar de apostas esportivas. A Fanatics faz parceria com mais de 900 propriedades esportivas globalmente, incluindo grandes ligas, times e atletas, e opera mais de 2. 000 pontos de venda. A empresa é comprometida com a responsabilidade corporativa, com foco em filantropia, diversidade e inclusão, proteção de marca e sustentabilidade.

Descrição

• Lead the architecture, discovery, design, and implementation of complex data systems and pipelines across multiple domains. • Own and evolve shared data platforms, including event- and stream-based systems, as long-lived, reusable capabilities. • Drive strategic technical decisions around architecture, technology selection, and system design with a focus on reliability, cost, and operational sustainability. • Define and evolve shared data models, schemas, and contracts that enable consistent use of data across teams while respecting local autonomy. • Partner with product, platform, and engineering leaders to translate ambiguous business needs into clear technical direction and executable plans. • Establish standards and patterns for building, enriching, and consuming data streams and derived datasets. • Produce clear technical proposals and documentation that communicate system design, trade-offs, and long-term implications. • Represent the team in cross-functional planning, architecture reviews, and strategic initiatives. • Serve as an escalation point for complex technical challenges and high-impact incidents. • Mentor engineers at all levels and set expectations for technical excellence, design quality, and documentation.

🎯 Requisitos

• 12+ years of experience in data engineering or related fields, with demonstrated progression into senior or staff-level technical leadership roles. • Proven experience architecting and operating large-scale, cloud-native data platforms and pipelines. • Strong understanding of distributed systems concepts, including state, ordering, failure modes, and consistency. • Experience with event-driven or streaming architectures and the systems that support them (particularly Kafka, Airflow, Snowflake). • Hands-on experience building and operating data systems in AWS. • Track record of influencing technical direction across multiple teams or organizations. • Ability to operate effectively in ambiguous, fast-paced environments and drive clarity through technical leadership. • Strong written and verbal communication skills, with experience presenting complex technical topics to diverse audiences. • Experience with data governance, security, and compliance considerations at scale. • Experience designing and running long-lived backend services is a plus. • Experience developing in Go and using infrastructure as code (e.g., Terraform) is a strong plus.

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