At a Glance
- Tasks: Lead the design and deployment of innovative data and AI solutions using Databricks.
- Company: Join a leading Databricks Partner with a focus on cutting-edge technology.
- Benefits: Competitive daily rate, fully remote work, and opportunities for professional growth.
- Other info: Dynamic role with excellent career advancement potential in a collaborative environment.
- Why this job: Make a real impact by solving big data challenges for diverse clients.
- Qualifications: Databricks Certified with extensive experience in Data Engineering and Analytics.
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.
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.
Required Skills & Experience
- 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 Spark 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.
Seniority level Mid-Senior level
Employment type Contract
Job function Engineering and Information Technology
Industries Technology, Information and Internet
Solutions Architect (Databricks) in London employer: TieTalent
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StudySmarter Expert Advice🤫
We think this is how you could land Solutions Architect (Databricks) 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 insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially those involving Databricks. 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 technical questions related to Databricks and data architecture. Practice explaining your thought process clearly, as communication is key in consulting roles.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Solutions Architect (Databricks) 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 worked on. We want to see how your skills match 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 engineering and how you can help our clients unlock value from their data. Keep it concise but impactful – we love a good story!
Showcase Your Technical Skills:Don’t forget to highlight your technical expertise in your application. Mention your Databricks certification, experience with CI/CD, and any cloud platforms you've worked with. We’re keen to see how you can lead technical projects!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at TieTalent
✨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 updates or features. Being able to discuss specific projects you've worked on will show your expertise.
✨Showcase Your Consulting Skills
Since this role involves a lot of client interaction, be prepared to demonstrate your consulting skills. Think of examples where you've successfully managed client expectations or resolved conflicts. This will highlight your ability to lead engagements and collaborate effectively with stakeholders.
✨Prepare for Technical Questions
Expect technical questions that dive deep into your experience with data engineering and architecture. Be ready to discuss performance tuning, CI/CD processes, and how you've implemented scalable solutions in past projects. Practising these topics will help you articulate your thought process clearly.
✨Bring Documentation Samples
Since producing 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 shows your attention to detail but also gives the interviewers a tangible sense of your capabilities.
