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A leading data-driven company is seeking a Lead/Senior Solutions Architect based in London, UK, with a focus on the Retail and Consumer Packaged Goods sectors. This role involves shaping long-term data strategies, mentoring junior architects, and fostering partnerships with stakeholders across the business. Candidates should possess strong technical expertise in cloud platforms and programming, alongside experience in navigating complex enterprise environments. Travel to customer sites will be required as part of the position.
Location: London, UK (Remote/Flexible with travel)
Reports to: Senior Manager, Field Engineering
From personalised shopping experiences to sustainable supply chains, data is the engine driving the Retail and Consumer Packaged Goods (CPG) industries forward. At Databricks, we are looking for a strategic technical leader to help the world's biggest brands turn their data into intelligence.
As a Lead/Senior Solutions Architect, you won’t just be building architectures; you will be building relationships, strategies, and the future of our team. You will act as a bridge between business goals and technical reality, ensuring our customers succeed and our internal teams thrive.
We value curiosity over perfection. If you have experience in data and a passion for the Retail/CPG space, but don’t meet every single technical requirement, we encourage you to apply. We are interested in your potential and your ability to solve complex problems.
We are looking for a blend of technical expertise, industry insight, and emotional intelligence.
Industry & Strategic Experience:
Technical Expertise:
Communication & Travel:
Nice to Have:
Databricks is the data and AI company. More than 10,000 organisations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratise data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.