Senior Data Engineer, Platform

DraftKings Inc.

1d•$116,800 - $146,000

About The Position

At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas. It’s transforming how we enhance customer experiences, streamline operations, and unlock new possibilities. Our teams are energized by innovation and readily embrace emerging technology. We’re not waiting for the future to arrive. We’re shaping it, one bold step at a time. To those who see AI as a driver of progress, come build the future together. The Crown Is Yours As a Senior Data Engineer, Platform you will be a key contributor to a data team centered around the mission of providing a best-in-class experience for our products and customers. In this role, you’ll be leveraging your technical expertise in all aspects of “Infrastructure as Code” (IaC) to enhance and build out our data platform. You will be working across teams, informing business decisions, helping to expand our platform, and define standards and best practices for platform use.

Requirements

A proven track record of administration, engineering, and operationalizing the Snowflake, Databricks or similar Cloud Data Platform.
Experience working in AWS, Terraform, CloudFormation, Python, and database replication tools/services (e.g., AWS DMS).
Experience working with CI/CD pipelines and deployment automation
Experience with a variety of data logging/monitoring tools, such as DataDog,
Experience writing software (preferably with Python)

Nice To Haves

Strong experience with SQL and knowledge in a variety of data engines (for example, SQL Server, MySQL, Amazon Aurora, Redshift) is a big plus.

Responsibilities

Demonstrate leadership and ownership of the platform to deliver services for projects and users.
Provide infrastructure guidance of data platform capabilities to accommodate business/technical use cases.
Leverage your strong communication skills to keep users informed and provide excellent quality of service.
Automate and manage provisioning needs, such as Snowflake storage and compute, Role Based Access Control model, and permissions.
Design, build, and operate the orchestration platform for both job/workflow scheduling and code deployment, including monitoring/alerting around scheduling reliability, task latency, SLA adherence, and pipeline performance.
Coordinate and collaborate with dependent infrastructure and AWS services to implement Snowflake integration with services, such as S3, IAM, SSO, etc.
Define frameworks, standards, and self-service tooling that enable other data teams to build, deploy, and operate their workflows consistently.