About the role and why it’s unique:

• As the Director of Data Engineering, you will be instrumental in growing, shaping, and leading Underdog’s Data Engineering team as it executes on mission critical business goals.
• Your team will be a strategic partner to the business and will work closely with cross functional stakeholders across multiple departments.
• The role offers an unparalleled opportunity to build new, scalable data infrastructure and to compile machine learning solutions that will drive essential business decisions.
• You have the ability to scale and grow your team effectively, leveraging your strong leadership skills to manage team members and resources as the business expands.

Who you are:

• 4 years of experience as a proven leader of data engineering organizations, having managed multiple direct reports including technical leaders, other people managers, and senior level individual contributors.
• 3 years of experience architecting data systems that incorporate: batch processing and real time data streaming, secure cloud architecture in AWS/Azure/Google Cloud, RESTful APIs and microservices, monitoring, alerting, and logging mechanisms, containerization and orchestration with tools such as Docker, Kubernetes, or ECS, and DevOps practices such as CI/CD pipelines and infrastructure-as-code tools.
• 3 years of experience building data ecosystems that incorporate machine learning.
• 7 years of experience and strong technical expertise with: data ingestion (Kinesis, Datastream), data streaming (Kafka, Flink, Kinesis), data transformation (dbt), orchestration (Airflow), reporting (Looker, Tableau, Sigma), MLOps (Sagemaker, Databricks, Tecton).
• A builder by nature who is most at home creating new data ecosystems using industry best practices and leading edge technologies.
• You think like an architect (you build solutions that are supportable, minimize technical debt, comprehensive enough to meet most future needs yet flexible enough to adapt when necessary)

Even better if you have:

• Experience with fantasy sports or sports betting
• A strong background in machine learning

Our targeted compensation rate for this position is between $215,000 and $320,000, depending on experience, plus equity. Think your skills are exceptional and warrant higher pay? Apply anyway! If we agree, we're willing to negotiate.