Fanatics Collectibles is looking to improve the collector experience by enabling data-driven marketing and product decisions through reliable, scalable, and well-structured event data.
Requirements
3+ years of experience as a Data or Analytics Engineer with a focus on event-based data systems and customer data platforms
Deep familiarity with CDPs (ideally Segment) including tracking plans, Protocols, Connections, Destinations, and Functions
Proficient in SQL, dbt, Snowflake
Experience writing event schemas and partnering with developers on instrumentation across web, mobile, and backend systems
Understanding of key marketing concepts like lifecycle segmentation, conversion tracking, campaign attribution, and event triggers
Familiarity with tools like Braze, Amplitude, Google Ads, Facebook Pixel through Segment destinations
Familiarity with Airflow, Python/pandas, Git, and general data workflow management
Responsibilities
Partner with product managers, marketers, and engineers to define, implement, and QA Segment tracking plans, ensuring consistent and reliable event data across all surfaces (web, mobile, backend)
Build and maintain robust data models (SQL + dbt) to operationalize event data in Snowflake for marketing, lifecycle, and product use cases
Act as a technical owner for Segment event pipelines, monitoring schema drift, naming violations, destination delivery issues, and Protocols violations
Develop and manage custom mappings, traits, and transformations in Segment (including Segment Functions) to power downstream destinations like Braze, Amplitude, and Snowflake
Enable the marketing team to activate audiences and campaigns by ensuring accurate and timely data flows to destinations
Collaborate with data platform engineers to scale our Airflow-based orchestration and build testing frameworks for event and customer data quality
Conduct periodic audits, validation tests, and regressions to ensure data completeness and integrity across environments
Other
Excellent collaboration skills and the ability to communicate clearly with both technical and non-technical stakeholders
A passion for data quality, validation, and monitoring
Bachelor's degree or higher in a related field (not explicitly mentioned but implied)
Ability to work in New York City or Los Angeles ( salary ranges are specific to these locations)
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