Fanatics, Inc.

Senior Staff Data Engineer

Fanatics, Inc.

full-time

Posted on:

Location Type: Remote

Location: Remote • New York • 🇺🇸 United States

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Salary

💰 $185,760 - $268,750 per year

Job Level

Senior

Tech Stack

AirflowAWSCloudDistributed SystemsGoKafkaTerraform

About the role

  • 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.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data engineeringcloud-native data platformsdistributed systemsevent-driven architecturestreaming architectureAWSGoinfrastructure as codeTerraformdata governance
Soft skills
technical leadershipcommunication skillsmentoringproblem-solvingstrategic decision-makingcollaborationclarity in ambiguitydocumentationinfluencingpresentation skills