Senior Manager, Data Engineering

JOB DESCRIPTION

We are seeking a passionate and experienced Senior Manager of Business Intelligence & Data Engineering to lead and develop a high-performing team of engineers. The scope of this role will be broad and multi-tiered, covering all aspects of the Business Intelligence (BI) ecosystem - designing, building, and maintaining robust data pipelines, enabling advanced analytics, and delivering actionable insights through BI and data visualization tools.

You will play a critical role in fostering a collaborative and innovative team environment, while driving continuous improvement across all aspects of the engineering process. Also - key to the success of this role will be an assertiveness and willingness to engage directly with stakeholders, developing relationships while acquiring deep understanding of functional domains (business processes, etc.).

KEY RESPONSIBILITIES

1. Lead the design and development of scalable, high-performance data architectures on AWS, leveraging services such as S3, EMR, Glue, Redshift, Lambda, and Kinesis. Architect and manage Data Lakes for handling structured, semi-structured, and unstructured data.
2. Manage Snowflake for cloud data warehousing, ensuring seamless data integration, optimization of queries, and advanced analytics. Implement Apache Iceberg in Data Lakes for managing large-scale datasets with ACID compliance, schema evolution, and versioning.
3. Drive Data Modeling and Productization: Design and implement data models (e.g., star/snowflake schemas) to support analytical use cases, productizing datasets for business consumption and downstream analytics.
4. Work with business stakeholders to create actionable insights using enterprise BI platforms (MicroStrategy, Tableau, Power BI, etc.). Build data models and dashboards that drive key business decisions, ensuring that data is easily accessible and interpretable.
5. Ensure that data pipelines, architectures, and systems are thoroughly documented and follow coding and design best practices. Promote knowledge-sharing across the team to maintain high standards for quality and scalability.
6. Call upon breadth of experience spanning many technologies and platforms to help shape architectural direction.
7. Assist end-users in optimizing their analytic usage, visualizing data in a more efficient and actionable fashion, beyond data dumps and grid reports.
8. Promote ongoing adoption of business intelligence content through an emphasis on user experience, iterative design refinement and regular training.
9. Implement Observability and Error Handling: Build frameworks for operational monitoring, error handling, and data quality assurance to ensure high reliability and accountability across the data ecosystem.
10. Stay Ahead of Industry Trends: Keep abreast of the latest techniques, methods, and technologies in data engineering and BI, ensuring the team adopts cutting-edge tools and practices to maintain a competitive edge.

QUALIFICATIONS

1. 10+ years of experience in Data Engineering or a related field, with a proven track record of designing, implementing, and maintaining large-scale distributed data systems.
2. 5+ years of work experience in BI/data visualization/analytics.
3. 5+ years of people management experience with experience managing global teams.
4. Track record of solving business challenges through technical solutions. Be able to articulate the context behind projects and their impact.
5. Knowledge of CI/CD tools and practices, particularly in data engineering environments.
6. Proficiency in cloud-based data warehousing, data modeling, and query optimization.
7. Experience with AWS services (e.g., Lambda, Redshift, Athena, Glue, S3) and managing cloud infrastructure.
8. Strong experience in Data Lake architectures on AWS, using services like S3, Glue, EMR, and data management platforms like Apache Iceberg.
9. Familiarity with containerization tools like Docker and Kubernetes for managing cloud-based services.
10. Hands-on experience with Apache Spark (Scala & PySpark) for distributed data processing and real-time analytics.
11. Expertise in SQL for querying relational and NoSQL databases, and experience with database design and optimization.
12. Proficiency in creating interactive dashboards and reports using drag-and-drop interfaces in enterprise BI platforms, with a focus on user-friendly design for both technical and non-technical stakeholders.
13. Experience in microservices-based architectures, messaging, APIs, and distributed systems.
14. Familiarity with embedding BI content into applications or websites using APIs (e.g., Power BI Embedded, MicroStrategy's HyperIntelligence for zero-code embedding, Tableau's robust APIs).
15. Able to work in a collaborative environment to support rapid development and delivery of results.
16. Exhibit an understanding of business problems and translate those into creative, innovative and practical solutions that deliver high quality services to the business.
17. Strong communication and presentation skills, with experience delivering insights to both technical and executive audiences.
18. Willing to wear many hats and be flexible with a varying nature of tasks and responsibilities.

BONUS POINTS

1. Understanding of data science and machine learning concepts, with the ability to collaborate with data science teams.
2. Knowledge of Infrastructure as Code (IaC) practices, using tools like Terraform to provision and manage cloud infrastructure (e.g., AWS) for data pipelines and BI systems.
3. Familiarity with data governance, security, and compliance practices in cloud environments.
4. Domain understanding of Apparel, Retail, Manufacturing, Supply Chain or Logistics.

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.