At a Glance
- Tasks: Lead the enterprise data platform, ensuring reliability and scalability for analytics.
- Company: A growing international SaaS business with a remote-first culture.
- Benefits: 26 days PTO, performance-based compensation reviews, and flexible working.
- Other info: Manage a Data Engineer and thrive in a dynamic, supportive environment.
- Why this job: Own a vital role in shaping data strategies and driving innovation.
- Qualifications: Strong experience in data engineering, Azure, and Databricks.
The predicted salary is between 70000 - 90000 £ per year.
A growing international SaaS business is seeking a Data Platform Lead to own their enterprise data platform, ensuring reliability and scalability while enabling analytics. This hands-on role requires strong experience in data engineering, particularly with Azure and Databricks, and includes managing a Data Engineer.
The company offers a remote-first working environment, 26 days PTO, and performance-based compensation reviews.
Remote Data Platform Lead — Azure/Data Lake + AI Readiness employer: ApprovalMax
Join a dynamic and innovative international SaaS company that prioritises a remote-first culture, offering flexibility and work-life balance. With 26 days of paid time off and regular performance-based compensation reviews, we are committed to fostering employee growth and satisfaction, making it an ideal environment for those looking to advance their careers in data engineering and analytics.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Data Platform Lead — Azure/Data Lake + AI Readiness
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those involving Azure and Databricks. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common data platform challenges and solutions. Be ready to discuss how you would ensure reliability and scalability in a hands-on role like this one.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to get noticed and shows you’re genuinely interested in joining our team. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Remote Data Platform Lead — Azure/Data Lake + AI Readiness
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Azure and Databricks. 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 data engineering and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Hands-On Experience:Since this is a hands-on role, make sure to include specific examples of your work in data engineering. We’re keen to see how you’ve tackled challenges and driven results in previous positions.
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’re considered for the role. Plus, it’s super easy – just a few clicks!
How to prepare for a job interview at ApprovalMax
✨Know Your Tech Inside Out
Make sure you brush up on your Azure and Databricks knowledge. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Leadership Skills
Since this role involves managing a Data Engineer, be prepared to talk about your leadership style. Share examples of how you've successfully led teams or projects in the past, focusing on collaboration and mentorship.
✨Understand the Business Context
Research the company’s products and how they leverage data for analytics. This will help you align your answers with their business goals and demonstrate that you’re not just a techie but also understand the bigger picture.
✨Prepare Questions That Matter
Think of insightful questions to ask at the end of the interview. Inquire about their current data challenges or future projects. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
