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Careers at DraftKings
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Lead Platform Engineer (Snowflake)

8 Dec 2023
Boston, MA, USA

About the job

We’re defining what it means to build and deliver the most extraordinary sports and entertainment experiences. Our global team is trailblazing new markets, developing cutting-edge products, and shaping the future of responsible gaming.

Here, “impossible” isn’t part of our vocabulary. You’ll face some of the toughest but most rewarding challenges of your career. They’re worth it. Channeling your inner grit will accelerate your growth, help us win as a team, and create unforgettable moments for our customers.

The Crown Is Yours

As a Lead Snowflake Engineer you will help establish and lead a data team centered around the mission of providing a best-in-class experience for our products and customers. In this role, you’ll provide proactive administration of Snowflake, leveraging your technical expertise in all aspects of the Snowflake platform. You will be working across teams, informing business decisions, and helping to expand our software platform and define standards and practices for platform use.

What you'll do as a Lead Snowflake Engineer

  • 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.

  • Provide technical expertise and troubleshooting and support for change management, governance compliance, internal audits and remediations.

What you'll bring

  • 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 and dynamic data masking.

  • 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 communication 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.

Join Our Team

We’re a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. 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. Don’t worry, we’ll guide you through the process if this is relevant to your role.

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.

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Key benefits:

  • AI-powered job creation and structured job data
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  • Video interviews with AI-based answer analysis
  • Comprehensive AI scoring of skills, experience, and role fit
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