Senior Staff Data Engineer

🕒 December 19, 2025

🗽 New York – Remote

🗽 New York – Remote

💵 $185.8k - $268.8k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Fanatics, Inc.

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2011

🎮 Gaming

🛒 Retail

🛍️ eCommerce

Gaming • Retail • eCommerce

Fanatics is building a leading global digital sports platform that aims to enhance the fan experience for over 100 million sports enthusiasts worldwide. The company operates across several divisions including Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming. They offer fans the opportunity to buy licensed fan gear, jerseys, lifestyle products, and headwear, collect physical and digital trading cards, sports memorabilia, and other digital assets, as well as engage in sports betting. Fanatics partners with over 900 sports properties globally, including major leagues, teams, and athletes, and operates more than 2,000 retail locations. The company is committed to corporate responsibility with a focus on philanthropy, diversity and inclusion, brand protection, and sustainability.

📋 Description

• 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.

🎯 Requirements

• 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.