Solutions Architect (Retail/CPG) in London

Solutions Architect (Retail/CPG) in London

London Full-Time 70000 - 90000 € / year (est.) No home office possible
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At a Glance

  • Tasks: Build strong client relationships and provide technical expertise in big data analytics.
  • Company: Join Databricks, a leader in data intelligence with a focus on innovation.
  • Benefits: Enjoy comprehensive perks, including competitive salary and flexible working options.
  • Other info: Dynamic role with opportunities for travel and professional growth.
  • Why this job: Become a trusted advisor and make a real impact in the retail and CPG industries.
  • Qualifications: Experience in solutions architecture and coding skills in Python or SQL required.

The predicted salary is between 70000 - 90000 € per year.

Location: London, UK

Impact you will have:

  • Form successful relationships with clients throughout your assigned territory, providing technical and business value to Databricks customers in collaboration with Account Executives.
  • Operate as an expert in big data analytics to excite customers about Databricks.
  • Develop into a ‘champion’ and trusted advisor on architecture, design, and implementation to lead the successful adoption of the Databricks Data Intelligence Platform.
  • Author reference architectures, how-tos, and demo applications to scale best practices in your field and support customers.
  • Lead workshops, seminars, and meet‑ups to help build the Databricks community in your region and scale best practices in your field.
  • Act as a hands‑on technical advisor, helping customers design, validate, and adopt modern data and AI architectures on the Databricks Data Intelligence Platform.
  • Grow your knowledge and expertise to the level of a technical and/or industry specialist.

What we look for:

  • Experience in solutions architecture, technical consulting, or pre‑sales, with a strong hands‑on approach to solving customer problems.
  • Strong capability in at least one or two of the following areas: Data Engineering, Data Warehousing, AI/ML, GenAI, AI Agents, or application development, with interest in expanding into adjacent areas over time.
  • Exposure to domains such as CDP/Martech, customer data architectures, cybersecurity, or modern AI application patterns would be valuable, but is not required.
  • You will work with customers in the enterprise space, focusing on the Consumer Packaged Goods (CPG) industry, but you will also consider the Retail industry.
  • Engage customers in technical sales, challenge their questions, guide clear outcomes, and communicate technical and value propositions.
  • Develop customer relationships and build internal partnerships with account executives and teams.
  • Prior experience with coding in a core programming language (i.e., Python, SQL) and willingness to learn a base level of Spark.
  • Hands‑on experience with modern data and analytics technologies, including public cloud platforms and technical validation work such as prototypes or proofs of concept.
  • Experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences, requiring an ability to context switch in levels of technical depth.

Nice to have: Databricks Certification.

The candidate must be able to commute to London offices regularly and travel approximately 20-30% of the time across UK & I for customer visits.

Benefits: Comprehensive benefits and perks are available.

Our Commitment to Diversity and Inclusion: At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards.

Compliance: If access to export‑controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Solutions Architect (Retail/CPG) in London employer: Cacheflow

At Databricks, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our London office provides a vibrant environment where Solutions Architects can thrive, with ample opportunities for professional growth and development in the rapidly evolving fields of data analytics and AI. We are committed to diversity and inclusion, ensuring that every employee feels valued and empowered to make a meaningful impact in their role.

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Contact Detail:

Cacheflow Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Solutions Architect (Retail/CPG) in London

Tip Number 1

Network like a pro! Get out there and connect with folks in the industry. Attend meet-ups, workshops, or seminars related to data analytics and solutions architecture. Building relationships can open doors that a CV just can't.

Tip Number 2

Show off your skills! Create a portfolio of your work, including any reference architectures or demo applications you've developed. This not only showcases your expertise but also gives potential employers a taste of what you can bring to the table.

Tip Number 3

Be prepared for technical discussions! Brush up on your knowledge of big data analytics, AI/ML, and coding languages like Python and SQL. Being able to confidently discuss these topics will set you apart during interviews.

Tip Number 4

Apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it’s a great way to ensure your application gets the attention it deserves. Don’t miss out!

We think you need these skills to ace Solutions Architect (Retail/CPG) in London

Solutions Architecture
Technical Consulting
Pre-sales Experience
Data Engineering
Data Warehousing
AI/ML
GenAI

Some tips for your application 🫡

Tailor Your Application:Make sure to customise your CV and cover letter for the Solutions Architect role. Highlight your experience in solutions architecture and any relevant projects you've worked on, especially in data engineering or AI/ML. We want to see how your skills align with what we’re looking for!

Showcase Your Technical Skills:Don’t hold back on showcasing your technical expertise! Mention your hands-on experience with programming languages like Python or SQL, and any familiarity with Spark. We love seeing candidates who can demonstrate their technical prowess and problem-solving abilities.

Communicate Clearly:When writing your application, clarity is key. Use straightforward language to explain your past experiences and how they relate to the role. We appreciate candidates who can communicate complex ideas simply, as this reflects the kind of interactions we have with our clients.

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us that you’re genuinely interested in joining our team at StudySmarter!

How to prepare for a job interview at Cacheflow

Know Your Tech Inside Out

Make sure you brush up on your knowledge of big data analytics, AI/ML, and the Databricks platform. Be ready to discuss how you've used these technologies in past roles and how they can benefit potential clients.

Showcase Your Problem-Solving Skills

Prepare examples of how you've tackled complex customer problems in your previous roles. Highlight your hands-on approach and be ready to explain your thought process during these challenges.

Build Rapport with Your Interviewers

Remember, this role is all about relationships! Practice engaging with your interviewers as if they were clients. Show enthusiasm for helping them solve their challenges and demonstrate your ability to communicate technical concepts clearly.

Prepare for Scenario-Based Questions

Expect questions that ask you to design solutions or validate architectures on the spot. Brush up on your coding skills, especially in Python and SQL, and be prepared to discuss how you'd approach a specific use case in the CPG or Retail industry.