At a Glance
- Tasks: Create innovative data solutions and help clients tackle complex challenges.
- Company: Join Databricks, a leader in data science and analytics.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Dynamic role with travel opportunities and a focus on collaboration.
- Why this job: Be a key player in transforming how businesses use data.
- Qualifications: Experience in solutions architecture and strong problem-solving skills required.
The predicted salary is between 60000 - 80000 £ per year.
Location: London, UK
At Databricks, our core values are at the heart of everything we do; creating a culture of proactiveness and a customer‑centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user‑friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Databricks Data Intelligence Platform can help customers solve their complex data challenges. You’ll work with a collaborative, customer‑focused team that values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!
Reporting to the Manager, Field Engineering.
The 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. You will 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.
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. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
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) employer: WinsAbove
At Databricks, we pride ourselves on being an exceptional employer, fostering a culture of innovation and collaboration in the heart of London. Our commitment to employee growth is evident through continuous learning opportunities and a supportive environment that encourages creativity and experimentation. Join us to be part of a diverse team dedicated to transforming data into actionable insights, while enjoying the benefits of a customer-centric workplace that values your contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Solutions Architect (Retail/CPG)
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend meet-ups, workshops, or even online webinars related to data and analytics. The more you engage, the better your chances of landing that Solutions Architect role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving data engineering or AI/ML. This will not only demonstrate your expertise but also give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Be proactive in your approach! Don’t just wait for job openings to pop up. Reach out to companies you admire, like Databricks, and express your interest. A well-timed email can make all the difference!
✨Tip Number 4
Utilise our website to apply! We’ve got a streamlined application process that makes it easy for you to showcase your talents. Plus, it’s a great way to ensure your application gets noticed by the right people.
We think you need these skills to ace Solutions Architect (Retail/CPG)
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 skills in data engineering or AI/ML that align with what we're looking for.
Showcase Your Technical Skills:Don’t shy away from flaunting your technical expertise! Include specific examples of how you've solved customer problems using big data analytics or coding in Python or SQL. We love seeing hands-on experience!
Demonstrate Customer-Centric Mindset:Since we value a customer-centric approach, share instances where you've built successful relationships with clients or helped them achieve their goals. This will show us you’re a great fit for our collaborative team.
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 and shows your enthusiasm for joining our mission at Databricks!
How to prepare for a job interview at WinsAbove
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of big data analytics and the Databricks Data Intelligence Platform. Be ready to discuss how you've used these technologies in past roles, and think about specific examples where you've solved complex data challenges.
✨Showcase Your Customer-Centric Mindset
Since this role is all about building relationships with clients, prepare to share stories that highlight your experience in technical consulting or pre-sales. Think about how you've engaged customers, addressed their concerns, and guided them towards successful outcomes.
✨Demonstrate Your Problem-Solving Skills
Be prepared to tackle hypothetical scenarios during the interview. Practice articulating your thought process when designing solutions or addressing customer needs. This will show your hands-on approach and ability to think critically under pressure.
✨Emphasise Continuous Learning
The tech world is always evolving, so express your enthusiasm for learning new skills and technologies. Mention any relevant courses or certifications you're pursuing, especially in areas like AI/ML or modern data architectures, to demonstrate your commitment to growth.