Job Description
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
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