About the role and why it’s unique:

• As a Director of Data Engineering, you’ll be responsible for roadmapping and implementing 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

Who you are:

• 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

Even better if you have:

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

Our target starting base salary range for this position is between $248,000 and $280,000, plus target equity. The starting base salary will depend on a number of factors including the candidate’s skills and experience, among other things.

What we can offer you:

• 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