At a Glance
- Tasks: Design and implement innovative Databricks solutions for advanced analytics and AI.
- Company: Join a forward-thinking tech firm focused on data-driven decision-making.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic team environment with exciting projects and career advancement opportunities.
- Why this job: Shape the future of data architecture and make a real impact on client success.
- Qualifications: Experience in data architecture and strong communication skills.
The predicted salary is between 70000 - 90000 £ per year.
Our Data Architects provide expertise, guidance, and strategic advice to clients, helping them develop robust, scalable, and efficient data solutions using Databricks. They play a critical role in designing and implementing modern lakehouse architectures to support advanced analytics, AI, and business intelligence use cases. Engaging with clients early in their data journey, they assess business needs and propose fit-for-purpose architectural solutions to drive data-driven decision-making and innovation.
Requirements
- Architect and implement Databricks Lakehouse solutions, optimising data ingestion, processing, storage, and analytics.
- Apply domain knowledge to recommend best practices and innovative architectures for modern data platforms.
- Develop strong working relationships with clients, present and justify architectural decisions to stakeholders at different levels of the organisation.
- Inform client data strategies, encouraging the adoption of best practices and governance models.
- Gather requirements from business and technical stakeholders.
- Lead architectural engagements, either directly or as part of a larger programme of work and take ownership for the successful delivery of customer value within budget, time and scope ensuring high standards of architecture, performance, and security.
- Debug and optimise Databricks solutions for performance and cost-efficiency.
- Optimise resource consumption and costs in Databricks environments.
- Implement governance, security, and compliance best practices for Databricks and cloud-based data ecosystems.
- Ensure data quality, lineage, and cataloging using tools such as Unity Catalog and Microsoft Purview.
- Develop and enforce CI/CD pipelines for Databricks workloads using Databricks Repos, GitHub Actions, or Azure DevOps.
- Conduct testing, documentation, and knowledge transfer to ensure operational sustainability.
- Contribute to the Architecture Practice, developing reusable architecture patterns and resources for Databricks solutions.
Pre‑sales activities
- Act as a solution architect in pre‑sales, partnering with sales and delivery to shape Databricks‑based solutions that address client data and AI challenges.
- Lead technical input to RFI and RFP responses, including discovery questions, target‑state architecture, delivery approach, risks, assumptions and high‑level estimates.
- Present and pitch architectural solutions to senior technical and business stakeholders, clearly articulating design decisions, value, trade‑offs and alignment to Databricks best practices.
- Design and deliver Proofs of Concept (PoCs) using Databricks Lakehouse, Azure services to validate use cases, demonstrate capability and accelerate client decision‑making.
- Support early‑stage client discovery, translating business objectives into secure, scalable and governed architectures, with consideration for cost optimisation, performance and enterprise governance (e.g. Unity Catalog etc).
Databricks Architect employer: Dufrain Consulting
As a leading employer in the data solutions sector, we pride ourselves on fostering a collaborative and innovative work culture that empowers our Databricks Architects to thrive. Our commitment to employee growth is evident through continuous learning opportunities, mentorship programmes, and the chance to engage with cutting-edge technologies in a dynamic environment. Located in a vibrant area, we offer competitive benefits and a supportive atmosphere that values creativity and strategic thinking, making us an exceptional choice for professionals seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Databricks Architect
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend meetups, webinars, or even just grab a coffee with someone who’s already in the role you want. Building relationships can open doors that a CV just can’t.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Databricks projects or any relevant work. This gives potential employers a tangible look at what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to Databricks architecture. Think about how you’d explain complex concepts to non-technical stakeholders – clarity is key!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
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 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 solutions and how you can contribute to our team. Be sure to mention specific experiences that relate to the job description.
Showcase Your Technical Skills:Don’t forget to highlight your technical expertise in Databricks and related tools. We love seeing candidates who can demonstrate their knowledge of best practices and innovative architectures in their applications.
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 materials in one go. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at Dufrain Consulting
✨Know Your Databricks Inside Out
Make sure you’re well-versed in Databricks Lakehouse architecture and its components. Brush up on best practices for data ingestion, processing, and analytics. Being able to discuss specific use cases and how you've optimised solutions in the past will show your expertise.
✨Engage with Real-World Scenarios
Prepare to discuss real-world scenarios where you've implemented data solutions. Think about challenges you faced and how you overcame them. This will help demonstrate your problem-solving skills and ability to deliver value to clients.
✨Build Rapport with Stakeholders
Practice how you would present architectural decisions to different stakeholders. Tailor your communication style to suit technical and non-technical audiences. Showing that you can engage effectively with various levels of an organisation is key.
✨Showcase Your Governance Knowledge
Be ready to talk about governance, security, and compliance best practices. Discuss tools like Unity Catalog and Microsoft Purview, and how you’ve ensured data quality and lineage in previous projects. This will highlight your understanding of the importance of these aspects in data architecture.
