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- Tasks: Design and deliver modern data solutions using Databricks Lakehouse Architecture.
- Company: Leading Microsoft partnered consultancy with a focus on innovation.
- Benefits: Generous annual leave, private medical insurance, and career development investment.
- Why this job: Shape data strategies for enterprise clients and make a real impact.
- Qualifications: Expertise in Databricks, data modelling, and strong communication skills.
- Other info: Hybrid role with opportunities for progression and meaningful client impact.
The predicted salary is between 72000 - 90000 £ per year.
A leading Microsoft partnered consultancy is seeking an experienced Data Architect to design and deliver modern data solutions built on Databricks Lakehouse Architecture. You will work with a variety of enterprise clients, helping them shape their data strategies, optimise their platforms, and unlock the full value of their data for analytics, AI, and business intelligence. This role is based in Edinburgh, Manchester, or London with roughly one day per week in office.
About the Role
As a Data Architect, you will provide technical leadership and architectural expertise across end-to-end data programmes. You will engage early with clients, assess their requirements, and design scalable, secure, high-performing architectures using Databricks and modern cloud technologies.
Key Responsibilities
- Architect and implement Databricks Lakehouse solutions covering ingestion, storage, processing, and analytics.
- Apply best practices to shape modern data platforms and guide clients on data strategy and governance.
- Build strong relationships with technical and business stakeholders, clearly communicating architectural decisions.
- Lead architectural engagements and ensure successful delivery of solutions on time, within scope, and to a high standard.
- Implement governance, security, and compliance controls.
- Ensure data quality, lineage, and cataloguing using tools such as Unity Catalog and Microsoft Purview.
- Develop CI/CD pipelines using Databricks Repos, GitHub Actions, or Azure DevOps.
- Contribute to internal best practices, reusable architecture patterns, and Proof of Concepts.
Experience Required
- Deep expertise in delivering enterprise-scale data analytics solutions using Databricks.
- Strong background in designing Lakehouse Architectures for structured and unstructured data.
- Solid understanding of data modelling (3NF, Kimball, Data Vault).
- Experience exposing Lakehouse architectures to tools such as Power BI and Tableau.
- Hands-on experience in Databricks engineering: Spark, Delta Lake, PySpark.
- Skilled in building scalable ETL pipelines using Workflows and Delta Live Tables.
- Proficiency in Python, Scala, or SQL.
- Knowledge of Databricks security best practices.
- Strong communication and stakeholder management skills.
What’s on Offer
- Generous annual leave.
- Private medical insurance.
- Wellbeing support.
- Guaranteed investment in career development and training.
- A high-performance culture offering progression, challenge, and meaningful impact for clients.
- And more.
Databricks Data Architect employer: Jefferson Frank
Contact Detail:
Jefferson Frank Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Databricks Data Architect
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with professionals on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Prepare for those interviews by practising common questions and scenarios related to Databricks and data architecture. We recommend doing mock interviews with friends or using online platforms to get comfortable talking about your experience and skills.
✨Tip Number 3
Showcase your expertise! Create a portfolio of your past projects, especially those involving Databricks and Lakehouse architectures. We can’t stress enough how visual proof of your skills can set you apart from other candidates.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive and take the initiative to connect directly with us.
We think you need these skills to ace Databricks Data Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Architect role. Highlight your experience with Databricks and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data architecture and how you can contribute to our team. Be sure to mention specific experiences that relate to the job description.
Showcase Your Technical Skills: Don’t forget to highlight your technical expertise, especially in Databricks and cloud technologies. We love seeing hands-on experience, so include any relevant tools or languages you've worked with, like Python or SQL.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and we’ll be able to review your application more efficiently. Plus, it shows you’re serious about joining us!
How to prepare for a job interview at Jefferson Frank
✨Know Your Databricks Inside Out
Make sure you brush up on your Databricks knowledge before the interview. Understand the Lakehouse Architecture, how to implement it, and be ready to discuss your past experiences with it. Being able to talk confidently about your hands-on experience with Spark, Delta Lake, and building ETL pipelines will definitely impress.
✨Showcase Your Communication Skills
As a Data Architect, you'll need to communicate complex ideas clearly to both technical and non-technical stakeholders. Prepare examples of how you've successfully engaged with clients in the past, and be ready to demonstrate your ability to build strong relationships and convey architectural decisions effectively.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills. Think about challenges you've faced in previous projects and how you overcame them. Be ready to explain your thought process and the architectural decisions you made, especially regarding data governance and security.
✨Highlight Your Continuous Learning
The tech world is always evolving, so show your commitment to continuous learning. Mention any recent courses, certifications, or best practices you've adopted related to Databricks or data architecture. This will demonstrate your proactive approach to staying updated and improving your skills.