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- Tasks: Lead the design of high-performance data platforms using Databricks.
- Company: Join a forward-thinking company at the forefront of data architecture.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Shape the future of data solutions and make a significant impact.
- Qualifications: Senior-level experience in data architecture with Databricks or similar platforms.
- Other info: Dynamic team environment with a focus on innovation and collaboration.
The predicted salary is between 36000 - 60000 £ 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.
Essential Skills & Experience
- 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.
- Experience working with cloud-based data platforms.
- Strong stakeholder communication and documentation skills.
Desirable Skills & Experience
- 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.
Locations
Data Architect in Leeds, Yorkshire 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, Yorkshire
✨Tip Number 1
Network like a pro! Reach out to your connections in the data architecture field, especially those who work 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 and experiences related to data 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 questions related to Databricks and data architecture. We recommend practising with a friend or using mock interview platforms to build your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for talented Data Architects like you. Plus, it’s the best way to ensure your application gets noticed!
We think you need these skills to ace Data Architect in Leeds, Yorkshire
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 this 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 showcase your technical skills in your application. Mention your hands-on experience with data migrations and modernisation strategies, especially within the Databricks ecosystem. We love seeing that expertise!
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 your knowledge of data lakes, lake house architectures, and how to optimise performance. Being able to discuss specific projects where you've designed solutions using Databricks will really impress the interviewers.
✨Showcase Your Migration Experience
Prepare to talk about your experience with data platform migrations. Have examples ready that highlight your role in moving data from legacy systems to Databricks or similar platforms. This will demonstrate your hands-on capability and strategic thinking.
✨Communicate Like a Pro
Strong communication skills are key for this role. Practice explaining complex architectural concepts in simple terms. Be ready to discuss how you’ve collaborated with stakeholders and translated business requirements into technical solutions.
✨Bring Your Architectural Standards
Be prepared to discuss architectural standards and best practices you’ve implemented in past roles. Think about how you can contribute to defining these for Databricks implementations. Showing that you have a strategic mindset will set you apart from other candidates.
