Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- 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 excellent progression opportunities in a high-performance culture.
The predicted salary is between 90000 - 125000 £ 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 Architect employer: Jefferson Frank
Contact Detail:
Jefferson Frank Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Databricks 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 with articulating your expertise.
✨Tip Number 3
Showcase your skills through a portfolio! Create a GitHub repository or a personal website where you can display your projects, especially those involving Databricks and data solutions. This gives potential employers a tangible look at what you can do.
✨Tip Number 4
Don’t forget to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to connect with us directly.
We think you need these skills to ace Databricks Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Databricks Architect role. Highlight your experience with Databricks, Lakehouse Architecture, 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 key responsibilities in the job description.
Showcase Your Technical Skills: Don’t forget to highlight your technical expertise in your application. Mention your hands-on experience with tools like Spark, Delta Lake, and CI/CD pipelines. We love seeing candidates who can demonstrate their technical prowess!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to submit all your documents in one go. Plus, it helps us keep track of your application!
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 hands-on experience with Spark, Delta Lake, and ETL pipelines. Being able to talk confidently about your past projects will impress the interviewers.
✨Showcase Your Communication Skills
As a Data Architect, you'll need to build strong relationships with both technical and business stakeholders. Prepare examples of how you've effectively communicated complex architectural decisions in the past. This will demonstrate your ability to bridge the gap between tech and business, which is crucial for this role.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills and architectural thinking. Think about challenges you've faced in previous roles and how you overcame them. Be ready to explain your thought process and the best practices you applied to shape modern data platforms.
✨Understand Governance and Compliance
Since governance and compliance are key responsibilities in this role, make sure you're familiar with tools like Unity Catalog and Microsoft Purview. Be prepared to discuss how you've implemented security controls and ensured data quality in your previous projects. This will show that you take these aspects seriously and can lead architectural engagements effectively.