Staff Data Engineer

About the Role

Key Responsibilities

• Develop deep expertise in Fan Ecosystem and drive strategic technical decisions across the various business units it supports
• Lead and architect complex, multi-team initiatives to support building data-centric processes to benefit the organization and its business units
• Design and oversee the development of scalable data objects and assets to support business intelligence and data science use cases
• Set the standard for engineering excellence across the organization and drive best practices adoption
• Lead hiring initiatives and mentor engineering team members at all levels
• Build and maintain strategic relationships with internal stakeholders, inside and outside of Engineering, serving as a technical advisor
• Architect and deliver complex service and data integrations between different teams and 3rd parties
• Drive technical vision and roadmap planning for the data platform
• Lead incident response and serve as an escalation point for complex technical issues
• Represent the engineering organization in cross-functional strategic planning sessions
• Must be open to occasional travel to Fanatics offices and other locations for conferences, events, meetings, and team building activities

Requirements

• 10+ years of experience in data engineering with demonstrated progression in technical leadership roles
• Expert-level technical skills, both functional and non-functional, in a continuous delivery environment with ability to architect complex systems
• Proven track record of leading large-scale technical initiatives and mentoring senior engineers
• Deep experience partnering with analysts, product managers, and other engineers across multiple teams and business units
• Extensive experience in large-scale cloud databases, data transformation, performance optimization, and distributed systems architecture
• Expert proficiency with modern tech stack and languages (python, SQL, SQS, Snowflake, S3, SFTP, dbt, Airflow) and ability to evaluate and adopt new technologies
• Demonstrated ability to work effectively in ambiguous, fast-paced environments and drive clarity through technical leadership
• Exceptional communication skills with the ability to influence technical decisions and represent complex topics to both technical and non-technical audiences
• Strong experience working within AWS environment and Snowflake, with ability to architect cloud-native solutions
• Experience with data governance, security, and compliance frameworks
• Track record of driving engineering culture and process improvements

Qualifications

• Educational background is not explicitly specified but implied to require extensive experience in data engineering and leadership roles

Benefits & Perks

• The salary range for this position is $216,000 to $250,000, which represents base pay only and does not include short-term or long-term incentive compensation
• When determining base pay, factors such as location, experience, qualifications, and training are considered