Responsibilities
- Drive architectural decisions and technology choices that align with business objectives and scalability requirements
- Lead and mentor a distributed global team of software engineers, fostering a culture of innovation and engineering excellence
- Establish and maintain engineering standards, best practices, and development processes
- Drive career development through regular coaching, feedback, and growth opportunities for team members
- Partner with Business leads to understand and address evolving data governance and privacy requirements
- Work closely with Product Management to define and execute the product roadmap
- Drive adoption and implementation of LLM-powered tools for automated data classification, PII detection, and compliance monitoring and automated data governance workflows
- Establish governance frameworks and best practices for responsible AI/LLM usage within data platforms
- Implement and track engineering metrics to measure team health, productivity, and system performance
- Utilize data-driven decision making across technical initiatives and team processes
- Manage project planning, resource allocation, and cross-team dependencies
- Champion initiatives to reduce technical debt and improve system reliability
- Build strong relationships with stakeholders across the organization
- Represent the team in technical steering committees and architecture reviews
Qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, or related field
- 12+ years of software engineering experience with 2+ years in engineering management
- Strong technical background in data platforms, distributed systems, and cloud architecture
- Proven experience leading and growing engineering teams across multiple locations
- Track record of delivering large-scale data infrastructure projects
- Deep understanding of data governance, privacy and compliance requirements
- Strong knowledge of cloud platforms (preferably AWS) and their data services
- Experience with modern data stack including data warehousing, lakes, and processing frameworks
- Understanding of DevOps practices, CI/CD, and infrastructure as code
- Familiarity with data quality tools, metadata management, and observability systems
- Excellence in people management, mentoring, and career development
- Ability to influence and drive consensus across multiple stakeholders
- Experience with agile methodologies and modern software development practices
- AWS Certifications preferred
Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect, and Bet. Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally.
