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- Tasks: Design and deliver high-performance data platforms using Databricks.
- Company: Join a forward-thinking tech company leading in data architecture.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Shape the future of data solutions and make a real impact.
- Qualifications: Senior-level experience in data architecture with Databricks or similar platforms.
- Other info: Collaborative environment with a focus on innovation and career advancement.
The predicted salary is between 48000 - 72000 £ per year.
We are seeking a Senior Databricks Architect to lead the design and delivery of scalable, high-performance data platforms built on Databricks. This is a strategic role requiring strong architectural experience, hands-on design capability, and a deep understanding of modern data ecosystems.
The ideal candidate will have several years' experience operating at architect level, with proven success designing and/or migrating data platforms into Databricks. Candidates with strong architecture backgrounds on comparable platforms (such as Snowflake) will also be considered, provided they hold relevant Databricks certifications.
Key Responsibilities- Design end-to-end data architectures using Databricks for analytics, data engineering, and data science use cases.
- Lead and support data platform migrations into Databricks from legacy or alternative data platforms.
- Define architectural standards, best practices, and reference patterns for Databricks implementations.
- Collaborate with data engineers, platform teams, and stakeholders to translate business requirements into scalable technical solutions.
- Ensure solutions meet performance, security, scalability, and cost-optimisation requirements.
- Provide technical leadership and architectural governance across Databricks initiatives.
- Review existing data architectures and recommend improvements or modernisation strategies.
- Support teams with architectural guidance, troubleshooting, and design reviews.
- Proven experience working as a Data Architect / Platform Architect at a senior level.
- Hands-on experience designing solutions within the Databricks ecosystem OR strong architectural experience on a competing platform (e.g. Snowflake) combined with Databricks certifications.
- Demonstrated experience with data platform migrations, modernisation, or large-scale data transformations.
- Strong understanding of data architecture principles, including:
- Data lakes / lake house architectures.
- Data modelling and data integration patterns.
- Performance optimisation and scalability.
- Databricks certifications (Data Engineer, Data Architect, or equivalent).
- Experience designing solutions prior to Databricks (traditional data warehouses, big data platforms, or cloud-native data stacks).
- Knowledge of modern data engineering tools and frameworks.
- Experience operating in complex enterprise environments.
Data Architect in Leeds employer: Stackstudio Digital Ltd.
Contact Detail:
Stackstudio Digital Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect in Leeds
✨Tip Number 1
Network like a pro! Reach out to your connections in the data architecture space, especially those who have experience with Databricks. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially those involving Databricks or similar platforms. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common data architecture scenarios and challenges. Be ready to discuss how you've tackled similar issues in the past, particularly in relation to Databricks.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Data Architect in Leeds
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 certifications. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for the role. Share specific examples of your past successes in data architecture and how they relate to what we do at StudySmarter.
Showcase Your Technical Skills: Don’t forget to highlight your technical expertise! Mention your hands-on experience with data platforms, especially Databricks, and any migrations you've led. We love seeing candidates who can back up their claims with real-world examples.
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 out on any important updates from us!
How to prepare for a job interview at Stackstudio Digital Ltd.
✨Know Your Databricks Inside Out
Make sure you’re well-versed in the Databricks ecosystem. Brush up on its features, capabilities, and best practices. Be ready to discuss how you've used Databricks in past projects or how you would approach specific scenarios.
✨Showcase Your Architectural Experience
Prepare to talk about your previous roles as a Data Architect. Highlight your experience with data platform migrations and modernisation strategies. Use specific examples to demonstrate your hands-on design capabilities and how you’ve tackled challenges in the past.
✨Communicate Clearly with Stakeholders
Since collaboration is key, practice explaining complex technical concepts in simple terms. Think about how you can translate business requirements into technical solutions. This will show that you can bridge the gap between technical teams and stakeholders effectively.
✨Prepare for Technical Questions
Expect to face technical questions related to data architecture principles, performance optimisation, and scalability. Review common architectural patterns and be ready to discuss how you would apply them in real-world scenarios, especially in relation to Databricks.
