At a Glance
- Tasks: Design and manage Databricks infrastructure, optimising machine learning workflows.
- Company: Join DraftKings, a leader in the gaming industry with a focus on innovation.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Other info: Exciting opportunity in a regulated environment with potential for career advancement.
- Why this job: Take ownership of systems and collaborate across teams to drive impactful projects.
- Qualifications: 5+ years experience in Python, AWS, and Terraform required.
The predicted salary is between 70000 - 98000 £ per year.
DraftKings is looking for a Lead Data Platform Engineer to design and manage the Databricks infrastructure, optimizing machine learning workflows. With at least 5 years of experience, candidates should have strong skills in Python and familiarity with AWS and Terraform.
This position demands ownership of systems end-to-end, ensuring performance and reliability while collaborating with teams across the organization.
As a regulated company, obtaining a gaming license may be necessary.
Senior ML Platform Engineer — Databricks & AWS employer: National Geographic
DraftKings is an exceptional employer that fosters a dynamic and innovative work culture, where Senior ML Platform Engineers can thrive in optimising cutting-edge machine learning workflows. With a strong emphasis on employee growth and collaboration across teams, the company offers unique opportunities to work with advanced technologies like Databricks and AWS, all while being part of a regulated industry that values integrity and performance.
StudySmarter Expert Advice🤫
We think this is how you could land Senior ML Platform Engineer — Databricks & AWS
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working with Databricks and AWS. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects and any optimisations you've made. This is your chance to demonstrate your expertise in Python and Terraform beyond just words on a CV.
✨Tip Number 3
Prepare for the interview by brushing up on your knowledge of performance and reliability in systems. Be ready to discuss how you've taken ownership of projects in the past and how you can bring that experience to the table.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior ML Platform Engineer — Databricks & AWS
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Databricks, AWS, and Python. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about optimising machine learning workflows and how your background makes you the perfect fit for our team at StudySmarter.
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled challenges in previous roles. We love seeing candidates who can take ownership and drive solutions, especially in complex environments like Databricks and AWS.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at National Geographic
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and get familiar with Databricks and AWS. Be ready to discuss specific projects where you've optimised machine learning workflows, as this will show your hands-on experience.
✨Showcase Your Problem-Solving Skills
Prepare to talk about challenges you've faced in previous roles, especially regarding system performance and reliability. Use the STAR method (Situation, Task, Action, Result) to structure your answers and demonstrate how you took ownership of solutions.
✨Collaboration is Key
Since this role involves working with various teams, think of examples where you've successfully collaborated with others. Highlight your communication skills and how you’ve contributed to team success in past projects.
✨Understand the Regulatory Landscape
As a regulated company, it’s crucial to understand the implications of gaming licenses. Familiarise yourself with any relevant regulations and be prepared to discuss how you would ensure compliance in your engineering practices.
