Teams at Fanatics

Build and operate production data pipelines using Python, SQL, Airflow, Snowflake, and Databricks. Implement ingestion sources, DAGs, schemas, monitoring, and catalog registration; investigate and resolve pipeline issues; review code; trace data lineage; support data security, governance, and reverse ETL integrations; collaborate with stakeholders; and mentor junior data engineers.

Designs and builds personalized customer-facing experiences, optimizes mobile and backend performance, and develops scalable systems. Creates dashboards and visualizations for monitoring and insights, collaborates with product, architecture, infrastructure, and engineering teams, and contributes to roadmap planning. Provides mentorship, leads code reviews, establishes engineering standards, evaluates mobile applications and competitors, and prototypes emerging technologies.

Drive strategy and continuous improvement for GenAI customer-service agents and CX copilots. Analyze conversation data, customer and agent feedback, and operational metrics; prioritize AI roadmap initiatives; define evaluation standards; support prompt, knowledge-base, and testing strategies; run pilots; and translate technical findings into business cases and executive narratives while coordinating engineering, product, CX, compliance, legal, fraud, and payments stakeholders.