Director of Data Engineering

This is a remote position.

Director of Data Engineering 

About Us: GrabaJobs helps engineers like you land job offers with maximum compensation and benefits by sending tailored job applications and cover letters to Fortune 500 and FAANG companies.

Job Description:

The Base Pay Range For This Position Is $215,800—$275,100 USD

About the client: Founded in 2020, the team built four of today’s most widely played fantasy games. They are the only sportsbook to ever launch on their own home grown technology, which allows them to build different and innovative experiences. 

The opportunity in front of them to become the biggest company in our space is massive; after all, They ’re currently sitting in the fastest-growing consumer industry in the U.S. In just over two years, they reached a nearly $500 million valuation through some of the best investors in the game, including Mark Cuban, Kevin Durant, BlackRock, and SV Angel. We are many times larger now and our growth is not slowing down.

About the role and why it’s unique:

• As the Director of Data Engineering, you will be instrumental in growing, shaping, and leading the  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.
  

• 2+ 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.
  

• 2+ years of experience building data ecosystems that incorporate machine learning.
  

• 2+ 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
  

Benefits:

• Flexible work schedule- fully remote
  

• Competitive salary
  

• Bonus + Equity stock option
  

• Healthcare/vision/dental 100% coverage
  

• Learning and development resources
  

• 401k
  

• Unlimited PTO
  

• Fully Remote and flexible working environment
  

• Care for employees' financial, physical, and mental health
  

DISCLAIMER: This job posting is intended for the active pooling of candidates who will become part of our talent pool. Your qualifications will be assessed against both current and future opportunities. If your application aligns with a role that corresponds to your skills and experience, and an opportunity arises, our recruitment team will reach out to you immediately.