Senior Data Engineer - NCF

Senior Data Engineer - Fanatics Collectibles

Fanatics Collectibles is building the future of trading cards—and we’re scaling fast. Our major licenses today include MLB, EUFA, WWE, UFC, NFL, NBA, Premier League, and more. To power this global growth, we are investing in an extensible suite of internal platforms that will serve as the digital backbone of our business, streamlining every step from project management, editorial, prepress, QA, auto and relic operations, product design, product development, supply chain, to manufacturing and distribution.

We’re looking for a hands‑on Senior Data Engineer to help build and evolve the foundation of our data platform. You’ll design, develop, and support scalable data pipelines that power analytics, insights, and data‑driven decision making across Fanatics Collectibles. This is a role for a strong self‑starter who thrives on solving complex data challenges and taking ownership from design through production.

• Design, implement, and maintain end‑to‑end data pipelines using AWS data services such as Kinesis Streams, Amazon Firehose, S3 Tables, Glue, Lambda, and Athena.
• Build and optimize Snowflake data models and integrations that serve as the backbone of enterprise analytics.
• Play a key role in building our data platform from the ground up, enabling teams across the organization to access and trust their data.
• Develop and maintain data catalogs, schemas, and lineage to improve discoverability and governance.
• Implement data quality checks, validation frameworks, and monitoring to ensure consistency and reliability.
• Collaborate with software and platform engineers to integrate event‑driven data pipelines across core systems.
• Automate workflows and deployment of data infrastructure using infrastructure‑as‑code (Terraform, Cloud Formation, or CDK).
• Partner closely with analytics and business stakeholders to understand use cases, define SLAs, and deliver trusted datasets.

• 5+ years of experience building and maintaining production data pipelines using AWS Data Services (Kinesis, Firehose, S3 Tables, Glue, Athena, Lambda, etc.).
• Proven experience building or scaling a data platform from scratch or during a modernization effort.
• Hands‑on experience with the Snowflake ecosystem (data modeling, Snowpipe, Streams, Tasks, Role‑Based Access Control, and performance optimization).
• Strong understanding of data cataloging, lineage, and data quality measurement.
• Proficiency in Python and SQL for data processing, transformation, and automation.
• Familiarity with streaming and batch architectures, and experience supporting near real‑time data use cases.
• Experience with orchestration tools such as Airflow, Dagster, or dbt.
• Comfortable working with infrastructure‑as‑code and CI/CD pipelines for data workloads.
• A self‑starter mindset — proactive in identifying opportunities, solving problems, and driving improvements without heavy direction.
• Strong communication skills and the ability to collaborate effectively across engineering and product teams.

• Experience with data observability platforms (e.g., Monte Carlo, Databand, Great Expectations).
• Exposure to data mesh or domain‑oriented data ownership models.
• Familiarity with AWS Lake Formation, Redshift, or Glue Data Catalog.
• Prior experience working in consumer products, e‑commerce, or media/collectibles environments.

The salary range for this position is $170,000 - $212,000, which represents base pay only and does not include short‑term or long‑term incentive compensation. When determining base pay, as part of a final compensation package, we consider several factors such as location, experience, qualifications, and training.