Senior Data Architect

4 weeks ago


San Mateo, California, United States Fanatics, Inc. Full time

We are seeking a seasoned Principal Software Engineer to play a pivotal role in shaping the future of our data platforms at Fanatics, Inc. As a technical leader in the organization, you will be responsible for driving technical innovation, leading large initiatives, and mentoring junior engineers.

Key Responsibilities:
  • Technical Roadmap: Design and drive the technical roadmap for the evolution of our data platforms, ensuring they are scalable, reliable, and meet the evolving needs of the business.
  • Large Initiatives: Lead large initiatives within the Data Platforms organization, collaborating effectively with cross-functional teams including data engineering, ML engineering, and product management.
  • Mentorship: Provide mentorship and guidance to junior engineers, fostering their growth and development within the team.
  • Data Platforms: Build data platforms that promote standardization, including data pipeline development, platform tooling, data lake formatting, and data democratization.
  • AI/ML Infrastructure: Lead the development and implementation of a shared AI/ML infrastructure platform, accelerating the adoption and deployment of impactful ML models across the company.
  • Data Governance: Champion data governance best practices, establishing and enforcing data processing principles, design patterns, and practices.
  • Cross-Functional Partnerships: Build strong cross-functional partnerships with data teams across the organization, influencing them to adopt best practices and collaborate effectively.

Qualifications:

  • 10+ years of experience leading the development of modern data architecture, analytics, data governance, AI/ML, or related areas.
  • Strong expertise in the big data ecosystem, including tools like Kafka, Spark, Apache Iceberg, Airflow, S3, data modeling, data warehouses, OLAP databases, etc.
  • Proven experience in data processing, orchestration, data engineering, and AI/ML domains.
  • Excellent communication skills, with the ability to collaborate effectively across teams and provide clear and concise technical guidance.
  • Experience with AI/ML platforms and a working knowledge of how data scientists leverage data for AI is a strong plus.

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