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- Tasks: Lead the design and delivery of scalable cloud data platforms using Databricks.
- Company: Globally established organisation with a focus on innovation.
- Benefits: Up to £90,000 salary, bonus, hybrid work, and career growth opportunities.
- Other info: Dynamic role with hands-on development and collaboration across teams.
- Why this job: Shape enterprise-scale cloud data solutions and make a real impact.
- Qualifications: Experience in Azure Databricks, ETL/ELT pipelines, and data architecture.
The predicted salary is between 90000 - 90000 £ per year.
A globally established organisation is seeking an experienced Databricks Solution Architect to lead the design and delivery of modern, scalable cloud data platforms. This role will focus on architecting enterprise-grade Lakehouse solutions, designing secure and high-performing data frameworks, and driving data transformation initiatives across a complex Azure environment.
Responsibilities:
- Design and implement scalable Lakehouse, warehouse and enterprise data architectures
- Build and optimise ETL / ELT pipelines using Azure Databricks
- Design data solutions using Azure Data Lake, Azure Data Factory and cloud storage services
- Lead greenfield Lakehouse framework implementations
- Define conceptual, logical and physical data models
- Establish data governance, security and compliance standards
- Implement partitioning, clustering and optimisation strategies for performance and scalability
- Collaborate with data scientists, analysts and DevOps teams to deliver end-to-end solutions
- Contribute hands-on development using PySpark, SQL and Python
- Support CI/CD and DevOps practices using Git-based version control
- Present architectural designs to governance and review forums
Essential Skills:
- Strong experience designing ETL / ELT pipelines using Azure Databricks
- Hands-on experience with Azure Data Lake and Azure Data Factory
- Strong experience implementing Lakehouse architecture in greenfield environments
- Strong knowledge of data modelling and enterprise data architecture
- Experience implementing data governance, metadata and security frameworks
- Experience working across enterprise-scale cloud data landscapes
- Strong understanding of performance optimisation and data management strategies
- Experience with PySpark, SQL and Python Spark
Desirable Skills:
- Strong stakeholder management and communication skills
- Experience working within Agile delivery environments
- Experience collaborating with large cross-functional delivery teams
- Retail industry experience beneficial
If you are an experienced Databricks Architect looking to shape enterprise-scale cloud data platforms within a modern Azure environment, this role offers strong technical ownership, large-scale delivery exposure and long-term career growth.
Databricks Architect in Reading employer: Involved Solutions
Contact Detail:
Involved Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Databricks Architect in Reading
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even local tech events. The more people you know, the better your chances of landing that Databricks Architect role.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your projects, especially those involving Azure Databricks and Lakehouse architectures. This will make you stand out when we’re looking for someone with hands-on expertise.
✨Ace the Interview
Prepare for technical interviews by brushing up on your PySpark, SQL, and data modelling skills. We want to see how you think and solve problems, so practice explaining your thought process clearly and confidently.
✨Apply Through Our Website
Make sure 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 that extra step to engage with us directly.
We think you need these skills to ace Databricks Architect in Reading
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Databricks Architect role. Highlight your experience with Azure Databricks, ETL/ELT pipelines, and Lakehouse architecture. We want to see how your skills match 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 your experience aligns with our needs. Let us know why you want to join StudySmarter and what you can bring to the team.
Showcase Your Projects: If you've worked on relevant projects, don't hold back! Include specific examples of your work with Azure Data Lake, data governance, or performance optimisation. We love seeing real-world applications of your skills.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss any important updates. Plus, it’s super easy!
How to prepare for a job interview at Involved Solutions
✨Know Your Databricks Inside Out
Make sure you brush up on your knowledge of Azure Databricks, especially around ETL/ELT pipelines. Be ready to discuss your hands-on experience and any specific projects you've worked on that involved designing scalable Lakehouse architectures.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled challenges in previous roles, particularly around data governance and performance optimisation. Use the STAR method (Situation, Task, Action, Result) to structure your answers and make them impactful.
✨Familiarise Yourself with the Company’s Tech Stack
Research the organisation's existing cloud data platforms and technologies they use. This will not only help you understand their needs better but also allow you to tailor your responses to show how your skills can directly benefit their operations.
✨Engage with the Interviewers
Don’t hesitate to ask insightful questions about their current data transformation initiatives or team dynamics. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your values.