At a Glance
- Tasks: Build innovative data solutions and engage with clients to solve complex challenges.
- Company: Join Databricks, a leader in data science and analytics.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Dynamic role with travel opportunities and a focus on the CPG and Retail industries.
- Why this job: Be a key player in transforming how businesses leverage data.
- Qualifications: Experience in solutions architecture and coding skills in Python or SQL.
The predicted salary is between 70000 - 90000 £ 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!
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.
- 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.
Solutions Architect (Retail/CPG) in London employer: Databricks
At Databricks, we pride ourselves on fostering a vibrant work culture that champions innovation and collaboration. As a Solutions Architect in London, you'll not only have the opportunity to work with cutting-edge data technologies but also benefit from a supportive environment that encourages professional growth and creativity. With a strong focus on customer success and a commitment to continuous improvement, Databricks is an excellent employer for those looking to make a meaningful impact in the retail and CPG sectors.
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 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
Practice makes perfect! Prepare for interviews by simulating technical discussions. Brush up on your coding skills in Python or SQL, and be ready to tackle real-world problems. This will help you stand out as a hands-on expert.
✨Tip Number 4
Apply through our website! We love seeing passionate candidates who align with our values. Make sure to tailor your application to highlight your customer-centric mindset and how you can contribute to our mission at Databricks.
We think you need these skills to ace Solutions Architect (Retail/CPG) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the Solutions Architect role. Highlight your experience in solutions architecture and any relevant technical skills, especially in data engineering or AI/ML. We want to see how you can bring value to our customers!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about data and how your background aligns with our mission at Databricks. Show us your enthusiasm for helping customers solve their data challenges.
Showcase Your Technical Skills:Don’t hold back on your technical expertise! Mention any hands-on experience you have with coding languages like Python or SQL, and if you've dabbled in Spark, let us know. We love candidates who are eager to learn and grow!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Databricks
✨Know Your Stuff
Make sure you brush up on your knowledge of big data analytics and the Databricks Data Intelligence Platform. Be ready to discuss how your experience in solutions architecture and technical consulting can directly benefit their customers, especially in the CPG and Retail sectors.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex customer problems in the past. Highlight your hands-on approach and be ready to discuss your experience with coding languages like Python and SQL, as well as any exposure to modern data technologies.
✨Engage and Communicate
Practice articulating technical concepts in a way that’s easy for non-technical stakeholders to understand. This role requires you to engage customers in technical sales, so think about how you can challenge their questions and guide them towards clear outcomes.
✨Build Relationships
Demonstrate your ability to build strong relationships, both with clients and internal teams. Think of ways you can show your collaborative spirit and how you’ve successfully partnered with account executives or other teams in previous roles.
