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- Tasks: Lead the design and deployment of innovative data and AI solutions using Databricks.
- Company: A top Databricks Partner known for cutting-edge technology and remote work culture.
- Benefits: Fully remote contracts with competitive pay and opportunities for professional growth.
- Why this job: Join a dynamic team solving big data challenges and making a real impact.
- Qualifications: Databricks Certified, 7-10+ years in Data Engineering, and strong consulting skills.
- Other info: Collaborative environment with excellent career advancement opportunities.
The predicted salary is between 48000 - 72000 £ per year.
A leading Databricks Partner is seeking multiple Resident Solutions Architects (and Senior Data Engineers) for immediate outside IR35, fully remote contracts. You will work on cutting edge customer engagements, solving big data challenges using the Databricks platform. As a trusted consultant, you’ll lead the design, build, and deployment of scalable data and AI solutions, ensuring clients unlock maximum value from their data.
Key Responsibilities:- Deliver impactful customer technical projects including reference architectures, solution accelerators, and production-ready deployments.
- Lead end-to-end design, implementation, and optimisation of Databricks-based data and AI platforms.
- Scope professional services engagements in collaboration with engagement managers and client stakeholders.
- Provide technical leadership in Databricks implementations, migrations, and integrations with client systems.
- Offer escalated technical support for operational issues, ensuring rapid resolution.
- Collaborate closely with Databricks engineering, project managers, and client teams to meet delivery objectives.
- Produce high-quality documentation, run workshops, and deliver technical training.
- Databricks Certified at Professional or Champion level.
- Proven track record delivering multiple Databricks projects in client-facing environments.
- 7–10+ years’ experience in Data Engineering, Data Platforms, and Analytics Consulting.
- Deep expertise in Apache Sparkâ„¢ and PySpark (knowledge of Spark runtime internals desirable).
- Strong background in performance tuning and optimisation for scalability.
- CI/CD for production deployments; working knowledge of MLOps.
- Proficiency in Python or Scala.
- Experience across at least one major cloud ecosystem (AWS, Azure, GCP), with working knowledge of two or more.
- Ability to design and deploy performant end-to-end data architectures.
- Strong consulting skills – confident working with clients, managing scope, and handling conflicts.
- Excellent documentation and whiteboarding skills.
Solutions Architect in London employer: Primus Connect
Contact Detail:
Primus Connect Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Solutions Architect in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work with Databricks or in data engineering. A friendly chat can lead to referrals or insider info about job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially those involving Databricks and big data challenges. 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 consulting skills. Be ready to discuss your experience with Apache Spark, CI/CD, and cloud ecosystems. Practice common interview questions to boost your confidence!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Solutions Architect in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Solutions Architect role. Highlight your experience with Databricks, Apache Spark, and any relevant projects you've led. We want to see how your skills match what we're looking for!
Showcase Your Projects: In your application, don’t just list your skills—show us what you’ve done! Include specific examples of Databricks projects you've worked on, especially those that demonstrate your ability to solve big data challenges.
Be Clear and Concise: When writing your application, clarity is key. Use straightforward language and avoid jargon where possible. We appreciate a well-structured application that gets straight to the point!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Primus Connect
✨Know Your Databricks Inside Out
Make sure you’re well-versed in the Databricks platform, especially if you're aiming for a Solutions Architect role. Brush up on your knowledge of Apache Spark™ and PySpark, as well as any recent projects you've worked on. Be ready to discuss specific challenges you faced and how you overcame them.
✨Showcase Your Consulting Skills
Since this role involves a lot of client interaction, it’s crucial to demonstrate your consulting skills during the interview. Prepare examples of how you've managed client expectations, resolved conflicts, and delivered impactful solutions. This will show that you can handle the pressures of client-facing environments.
✨Prepare for Technical Questions
Expect technical questions that dive deep into your experience with data engineering and cloud ecosystems. Review your past projects and be ready to explain your design choices, performance tuning strategies, and how you’ve implemented CI/CD processes. This will highlight your expertise and problem-solving abilities.
✨Bring Documentation Samples
Since high-quality documentation is part of the job, consider bringing samples of your previous work. This could include reference architectures or training materials you've created. It not only showcases your skills but also gives the interviewers a tangible sense of your capabilities.
