At DraftKings, we're inspired by our shared passion for developing creative solutions to complex challenges and empowering the people around us to do their best work. We are industry leaders in the digital entertainment and technology space and are propelled by constant curiosity and diverse perspectives.
DraftKings is growing quickly and we're looking for a Lead Platform Data Engineer (Snowflake) to help establish and lead a data team centered around the mission of providing a best-in-class experience for our products and customers. This position requires strong technical skills and a bias toward collaboration. You will be working across teams, informing business decisions, and helping to expand our software platform.
Provide proactive administration of Snowflake, leveraging your technical expertise in all aspects of the Snowflake platform
Demonstrate leadership and ownership of the platform to deliver services for projects and users
Tune Snowflake for performance and utilization optimization
Provide infrastructure guidance of Snowflake 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
Configure and manage monitoring/alerting around replication latency, performance (cluster & query) and Airflow
Coordinate and collaborate with dependent infrastructure and AWS services to implement Snowflake integration with services, such as S3, IAM, SSO, etc.
Plan, implement and test disaster recovery protocols
Define standards and practices for platform use
Provide technical expertise and troubleshooting
Provide support for change management, governance compliance, internal audits and remediations
Provide on-call support
Have a proven track record of administration, engineering, and operationalizing the Snowflake Cloud Data Platform
Experience working in AWS, Terraform, Python, and database replication tools/services (e.g., AWS DMS)
Familiarity with Snowflake Snowpipes, Secure Data Sharing, dynamic data masking, etc
The ability to leverage new technologies to test, build, and optimize data pipelines, transformations, architectures, and data sets
Strong experience with SQL and knowledge in a variety of data engines (for example, SQL Server, MySQL, Amazon Aurora, Redshift) is a big plus
Excellent communications skills and interpersonal skills to effectively communicate and collaborate with both business and technical teams
Experience with data reporting tools (e.g., Tableau), and data logging/monitoring tools (e.g., Datadog) is preferred
Our teams are fueled by innovation. We are looking ahead, building what’s next, and continuously reinventing the industry. We’re a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston, with teams around the world and an expanding global presence.
We strive to create a place where all feel safe, empowered, engaged, championed, and inspired. DraftKings is proud to be an equal opportunity employer. This means we do not tolerate discrimination of any kind and are committed to providing equal employment opportunities regardless of your gender identity, race, nationality, religion, sexual orientation, status as a protected veteran, or status as an individual with a disability.
As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment.
The US base salary range for this full-time position is $126,400.00 - $189,600.00, plus bonus, equity, and benefits as applicable. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range and how that was determined during the hiring process.
