At a Glance
- Tasks: Lead and architect Databricks solutions for AI-driven projects.
- Company: Dynamic tech company focused on innovative data solutions.
- Benefits: Competitive daily rate, fully remote work, and potential contract extensions.
- Other info: Ideal for those passionate about education technology and data ecosystems.
- Why this job: Join a cutting-edge team and shape the future of data engineering.
- Qualifications: Expertise in Databricks, Azure, and data engineering principles.
The predicted salary is between 50400 - 50400 £ per year.
We're looking for a hands-on Databricks expert who combines deep engineering capability with architecture leadership and a strong understanding of how to leverage enterprise data platforms for AI-driven solutions.
Key Skills:
- Databricks Lakehouse Platform
- Azure Databricks
- PySpark & Spark SQL
- Delta Lake & Medallion Architecture (Bronze/Silver/Gold)
- Unity Catalog
- Data Engineering & Data Pipelines
- AI / GenAI Solutions
- Azure OpenAI, LLMs & RAG Architectures
- API Integrations & Modern Data Platforms
Nice to Have:
- Education Technology experience
- Student Information Systems
- IEP (Individualized Education Programs)
- Medicaid integrations
- EdTech platforms and data ecosystems
Principal Databricks Architect / Principal Data Engineer employer: Careerwise Uk
As a Principal Databricks Architect or Principal Data Engineer with us, you'll join a forward-thinking team that values innovation and collaboration in a fully remote environment. We offer competitive daily rates, opportunities for professional growth, and the chance to work on cutting-edge AI-driven solutions that make a real impact in the education technology sector. Our inclusive work culture fosters creativity and encourages continuous learning, making it an ideal place for talented individuals looking to advance their careers.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Databricks Architect / Principal Data Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering and Databricks community. Attend meetups or webinars, and don’t be shy about asking for referrals or insights into job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with Databricks, Azure, and any AI-driven solutions you've worked on. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge around Databricks Lakehouse, Delta Lake, and API integrations. Be ready to discuss how you've tackled challenges in past projects.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Principal Databricks Architect / Principal Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Databricks and data engineering. We want to see how your skills align with the job description, so don’t be shy about showcasing your expertise in Azure Databricks and AI-driven solutions!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this role. We love seeing passion for education technology, so if you have relevant experience, let us know!
Showcase Relevant Projects:If you've worked on projects involving Delta Lake or Medallion Architecture, make sure to mention them. We’re keen to see real-world applications of your skills, especially in data pipelines and API integrations.
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 Careerwise Uk
✨Know Your Databricks Inside Out
Make sure you brush up on your Databricks knowledge, especially the Lakehouse Platform and Delta Lake architecture. Be ready to discuss how you've used these technologies in past projects, as well as any challenges you've faced and how you overcame them.
✨Showcase Your Data Engineering Skills
Prepare to talk about your experience with data pipelines and API integrations. Have specific examples ready that demonstrate your ability to design and implement efficient data solutions, particularly in an AI-driven context.
✨Understand the EdTech Landscape
If you have experience in education technology, make sure to highlight it. Familiarise yourself with Student Information Systems and Medicaid integrations, as this could set you apart from other candidates who may not have this niche knowledge.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's approach to data architecture and their vision for AI solutions. This shows your genuine interest and helps you assess if the role is the right fit for you.
