7 days ago
Base Salary
$181k - $238k/yr
Responsibilities
- Own the architecture and design of ingestion pipelines, orchestration frameworks, and data delivery systems.
- Define team frameworks, conventions, and reference patterns for pipelines, Airflow DAGs, testing, monitoring, and catalog registration.
- Diagnose novel data integrity, performance, and reliability problems and drive systemic fixes, automation, and runbooks.
- Set reliability standards including SLOs, alerting, and on-call health while reducing operational toil.
- Lead data security and governance strategy covering PII masking, RBAC, data classification, and lineage.
- Design reverse ETL and data delivery integrations with SLAs, downstream-impact analysis, and failure-handling guarantees.
- Drive platform decisions across Snowflake, Databricks, and AWS, including cost optimization, capacity planning, and build-versus-buy evaluations.
- Lead technical specifications and design reviews, anticipate failure modes and downstream impacts, and review high-risk pull requests.
- Partner with BI, Data Science, Product, and business leadership to turn ambiguous requirements into scalable solutions and shape the roadmap.
- Mentor engineers, represent the team in cross-functional forums, reduce technical debt, and participate in hiring.
Requirements
- 8+ years of professional software or data engineering experience, including significant ownership of production data platforms at scale.
- Experience designing and delivering large, cross-team data systems from ambiguous requirements through production operation.
- Expert-level Python and SQL skills with deep experience in ETL/ELT patterns for complex, high-volume transformations.
- Deep expertise in Airflow or Managed Workflows for Apache Airflow, including DAG design at scale and operational best practices.
- Strong knowledge of idempotency, backfills, schema evolution, late-arriving data, data quality frameworks, and failure recovery.
- Hands-on experience with several of Snowflake, Databricks, AWS, dbt, Tableau, MongoDB, and PostgreSQL.
- Experience building data security and governance capabilities such as PII masking, RBAC, cataloging, lineage, and reusable pipeline frameworks.
- Strong testing, CI/CD, and code review practices, with the ability to establish standards for a team.
- Proven ability to mentor engineers, influence without authority, and build alignment across teams.
- Excellent written and verbal communication, including design documents, tradeoff analysis, and incident write-ups.
- Preferred experience with reverse ETL, real-time or streaming data, Kafka, Datadog, FinOps, regulated industries, platform migrations, or major re-architectures.
Benefits
- Remote role, with possible in-person interviews or onboarding components in New York City depending on role and location.
- Full-time, non-seasonal hires may participate in Launching into Better: LIVE, a multi-day cultural immersion in New York City.
- Company benefits are provided through Fanatics’ benefits program.
- Specific travel and participation requirements are confirmed based on role and location.
Tech Stack
Categories
Data Engineering
About Fanatics
Fanatics is a New York–based digital sports platform that sells licensed team merchandise, trading cards, and operates a growing online sportsbook for fans. Its businesses span e-commerce for leagues and teams, manufacturing and distributing collectibles (including the Topps trading card brand), and betting and iGaming. The privately held company operates globally and powers official online stores and in-venue retail for major professional and college sports organizations.