Solutions Architect (Customer Lake)

Location: London, United Kingdom

Company

Databricks is a data and AI company providing a unified platform for building and scaling data, AI, analytics, and agent applications.

What you will do

• Provide technical leadership for customer data and marketing implementations, from architecture and data engineering to identity resolution, audience activation, and agent deployment.
• Partner with go-to-market leaders and account teams to drive Customer Lake adoption from Customer 360 build-out through CDP augmentation or replacement.
• Advise CMOs, marketing technology leaders, data engineering leaders, and marketing and analytics teams on Customer Lake architecture and adoption.
• Lead workshops, proof-of-concept execution, presentations, demos, and customer-facing technical collateral.
• Translate field insights into product and engineering roadmap recommendations and act as a tier-3 escalation point for complex technical challenges.
• Establish and refine sales qualification and POC intake processes to improve customer outcomes and reduce friction for R&D.

Requirements

• 5+ years of experience with customer data platforms, marketing technology, or customer data engineering, including 3+ years in a customer-facing, pre-sales, or consulting role.
• Experience designing and implementing data and AI applications for marketing and customer engagement, including identity resolution, segmentation, personalization, next-best-action, and agentic AI workflows.
• Deep familiarity with CDP and martech/adtech platforms such as Salesforce Data Cloud, Adobe, Segment, Treasure Data, or Braze, including implementation, activation, and migration strategies.
• Strong understanding of first-party and third-party data, identity graphs, consent and privacy signals, and martech/adtech destinations.
• Experience with governed data products, SQL or natural-language audience definition, reverse-ETL and activation pipelines, and governance in Unity Catalog.
• Hands-on experience with AWS, Azure, or GCP and a degree in a technical field such as Computer Science, Data Science, Applied Mathematics, or Engineering.

Nice to have

• Experience collaborating with global system integrators and third-party consulting organizations.

Culture & Benefits

• Comprehensive benefits and perks are provided, with details varying by region.
• Inclusive hiring practices and a commitment to diversity and equal employment opportunity.
• Opportunity to work within a global go-to-market organization focused on data, AI, and customer engagement solutions.