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- Tasks: Design and implement cutting-edge data architectures using Databricks and modern cloud technologies.
- Company: Leading Microsoft partnered consultancy with a focus on innovation and client success.
- Benefits: Generous leave, private medical insurance, career development, and a high-performance culture.
- Other info: Dynamic role with opportunities for progression and professional growth.
- Why this job: Shape data strategies for enterprise clients and make a meaningful impact in the tech world.
- Qualifications: Expertise in Databricks, data modelling, and strong communication skills.
The predicted salary is between 70000 - 90000 £ per year.
As a Data Architect, you will provide technical leadership and architectural expertise across end-to-end data programmes. You'll engage early with clients, assess their requirements, and design scalable, secure, high‑performing architectures using Databricks and modern cloud technologies.
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.
Qualifications
- 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.
About the Role
A leading Microsoft partnered consultancy is seeking an experienced Data Architect to design and deliver modern data solutions built on Databricks Lakehouse Architecture. You'll 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.
Benefits
- 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
Data Architect employer: Microsoft
Contact Detail:
Microsoft Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend meetups, webinars, or even local tech events. The more you engage, the better your chances of landing that Data Architect role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Databricks projects and any cool data solutions you've built. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with Lakehouse architectures and how you've tackled challenges in past projects. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it makes it easier for us to keep track of your application and get back to you quickly.
We think you need these skills to ace 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, Lakehouse architectures, 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 technologies and methodologies that resonate with the job description.
Showcase Your Technical Skills: Don’t hold back on showcasing your technical expertise! Include details about your hands-on experience with Databricks, Spark, and any CI/CD pipelines you've developed. We love seeing practical examples of your work!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Microsoft
✨Know Your Databricks Inside Out
Make sure you brush up on your Databricks knowledge before the interview. Be ready to discuss your experience with Lakehouse architectures, ETL pipelines, and any hands-on projects you've worked on. The more specific examples you can provide, the better!
✨Showcase Your Communication Skills
As a Data Architect, you'll need to communicate complex ideas clearly. Practice explaining your architectural decisions and how they benefit clients. Use relatable analogies or examples to demonstrate your thought process and ensure everyone understands your vision.
✨Prepare for Scenario-Based Questions
Expect questions that ask how you would handle specific challenges in data architecture. Think about past experiences where you had to implement governance or security controls, and be ready to explain your approach and the outcomes.
✨Highlight Your Stakeholder Management Experience
Building strong relationships is key in this role. Be prepared to discuss how you've engaged with both technical and business stakeholders in previous roles. Share examples of how you’ve navigated differing priorities and ensured successful project delivery.