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- Tasks: Lead the design and deployment of innovative data and AI solutions using Databricks.
- Company: A top Databricks Partner offering fully remote contracts.
- Benefits: Competitive pay, flexible work environment, and opportunities for professional growth.
- Why this job: Join a dynamic team and tackle exciting big data challenges.
- Qualifications: Databricks Certified with extensive experience in Data Engineering and Analytics.
- Other info: Collaborative culture with a focus on impactful customer projects.
The predicted salary is between 36000 - 60000 £ 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 employer: Primus Connect
Contact Detail:
Primus Connect Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Solutions Architect
✨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 opportunities that aren’t even advertised yet.
✨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 bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and consulting skills. Be ready to discuss your experience with Apache Sparkâ„¢ and how you've tackled real-world problems in previous roles.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities waiting for talented Solutions Architects like you. Plus, it’s the best way to ensure your application gets noticed!
We think you need these skills to ace Solutions Architect
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 align with 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.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data and AI solutions. Let us know how you can add value to our team and the clients we serve.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it makes the process smoother for everyone involved!
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 that showcase your expertise. Being able to discuss specific examples will impress your interviewers.
✨Showcase Your Consulting Skills
As a Solutions Architect, you'll be working closely with clients. Prepare to demonstrate your consulting skills by discussing how you've managed client relationships, handled conflicts, and scoped projects in the past. Use real-life scenarios to illustrate your points and show how you can add value to their team.
✨Prepare for Technical Questions
Expect technical questions that dive deep into your experience with data engineering and cloud ecosystems. Review key concepts related to CI/CD, MLOps, and performance tuning. Practising answers to common technical interview questions can help you feel more confident and articulate during the interview.
✨Bring Documentation Samples
Since documentation is a key part of the role, consider bringing samples of your previous work. This could include reference architectures or training materials you've created. It not only shows your ability to produce high-quality documentation but also gives you a chance to discuss your thought process and approach to problem-solving.
