Director, Data Engineering

Summary

Join Underdog, the fastest-growing sports gaming company, as their Director of Data Engineering. You will be responsible for developing and implementing a scalable analytics data platform, establishing best practices for data management, and collaborating with various teams. This leadership role requires managing a team of 10+ engineers, fostering innovation, and ensuring data integrity. The ideal candidate possesses extensive experience in data engineering, strong leadership skills, and advanced proficiency in relevant technologies. Underdog offers a competitive salary, equity, unlimited PTO, parental leave, and comprehensive benefits.

Requirements

• At least 12+ years of experience in data engineering, data warehousing, and/or business intelligence roles
• Experience scaling and managing 10+ person teams
• Highly focused on delivering results for internal and external stakeholders in a fast-paced, entrepreneurial environment
• Strong familiarity with distributed computing and data storage mechanisms on the cloud environment (e.g. AWS/GCP/Azure) with hands-on experience in managing data infrastructure
• Track record of delivering scalable and innovative solutions, leveraging cutting-edge technologies for data warehousing and machine learning such as Kafka, DBT, Databricks
• Excellent leadership and communication skills with ability to influence and collaborate with stakeholders
• Advanced degree in Computer Science, Data Science, or a related field
• Advanced proficiency with Python, Java, or other OOP languages (at least 2)
• Advanced proficiency with SQL

Responsibilities

• Roadmap and implement a vision for a scalable analytics data platform
• Establish best practices that achieve operational excellence in data availability, data quality, and data privacy
• Collaborate with the data science and data analytics teams to deliver high-impact data assets
• Design and implement data pipelines and transformation workflows that are optimized for flexibility and data quality, leveraging best-in-class tools for transformation, observability, and testing
• Lead, mentor, and scale the data engineering team, cultivating a culture of innovation, learning, and excellence
• Partner with product, engineering, and analytics teams to understand their data needs and translate their business requirements to scalable technical solutions
• Stay on top of industry trends, emerging technologies, and best practices for data processing, storage, compute and ML development
• Develop and maintain robust governance frameworks, ensuring processes for monitoring, observability, and testing are in place to safeguard the integrity and availability of data

Preferred Qualifications

• Strong interest in sports and/or sports betting
• Some experience building ML systems like recommendation engines

Benefits

• Unlimited PTO (we're extremely flexible with the exception of the first few weeks before & into the NFL season)
• 16 weeks of fully paid parental leave
• A $500 home office allowance
• A connected virtual first culture with a highly engaged distributed workforce
• 5% 401k match, FSA, company paid health, dental, vision plan options for employees and dependents