Senior Data Engineer, Platform

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DraftKings Inc.

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2012

🎮 Gaming

⚽ Sports

👥 B2C

Gaming • Sports • B2C

DraftKings Inc. is a global company known for providing innovative products and experiences primarily in the sports betting and fantasy sports sectors. The company boasts a strong presence across multiple countries, aiming to deliver exceptional customer moments and overcoming challenges through teamwork and persistence. At DraftKings, innovation in engineering, analytics, and product development is key, with a focus on creating unforgettable customer experiences in sportsbook and casino operations. The company emphasizes a dynamic work culture, inclusion, equity, and global collaboration within its diverse teams.

📋 Description

• 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.

🎯 Requirements

• A proven track record of administration, engineering, and operationalizing 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 • Strong experience with SQL and knowledge in a variety of data engines (for example, SQL Server, MySQL, Amazon Aurora, Redshift) is a big plus. • Experience writing software (preferably with Python)

🏖️ Benefits

• bonus • equity • benefits as applicable