Cloud-Ready Software Architect

Principal Software Engineer

The Platforms organization is at the heart of our company's data-driven decision making, building foundational capabilities that empower application and data scientists to unlock the power of data.

1. Architecture and Design: Architecting and designing D2C and B2B commerce applications with workloads distributed across a multi-cloud topology.
2. Storage Infrastructure: Building and managing scalable and reliable data storage solutions.
3. Data Processing: Handling real-time data pipelines with high throughput and low latency.
4. Data Orchestration: Coordinating complex data processing workflows with efficiency and reliability.
5. Messaging Infrastructure: Ensuring secure and efficient communication between applications.
6. Big Data Analysis: Analyzing massive datasets with speed and accuracy.
7. Data Repository: Providing a centralized and accessible repository for historical data.
8. Real-Time Analysis: Enabling fast and interactive data analysis for insights on the fly.
9. AI/ML Platform: Building and maintaining a robust platform that supports the development and deployment of impactful ML models.

The Opportunity

We are seeking a passionate and experienced software engineer to play a key role in shaping the future of our application, cloud, and data platforms. As a technical leader, you will be responsible for driving technical innovation, leading large initiatives, and mentoring junior engineers.

Responsibilities

1. Design and drive the technical roadmap for the evolution of our platforms, ensuring they are scalable, reliable, and meet the evolving needs of the business.
2. Lead large initiatives within the broader tech org, collaborating effectively with cross-functional teams including engineering, data science, and product management.
3. Provide mentorship and guidance to junior engineers, fostering their growth and development within the team.
4. Build data platforms that promote standardization, including data pipeline development, platform tooling, data lake formatting, and data democratization.
5. Build and maintain the AI/ML infrastructure to support the company's AI/ML needs, with a focus on standardized MLOps practices.
6. Champion data and AI governance best practices, establishing and enforcing data processing principles and design patterns.
7. Build strong partnerships with teams across the organization, influencing them to adopt best practices and collaborate effectively.

Requirements

1. 13+ years of experience leading the development of modern cloud-based applications and their integration into a common data platform.
2. Deep understanding of distributed systems architecture and the integration of operational systems with analytical systems.
3. Strong expertise in the big data ecosystem, including tools like Apache Kafka, Spark, Iceberg, Airflow, AWS S3, data modeling, data warehouses, OLAP databases, etc.
4. Proven experience in data processing, orchestration, data engineering, data quality management, and data governance.
5. Excellent communication skills, with the ability to collaborate effectively across teams and provide clear and concise technical guidance.
6. Experience with AI/ML platforms and a working knowledge of how data scientists leverage data for AI is a strong plus.

Fanatics is building a leading global digital sports platform that ignites the passions of global sports fans and maximizes the presence and reach for hundreds of sports partners globally by offering products and services across multiple channels.

The company 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; and over 2,000 retail locations.

Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally.