Sr. Solutions Architect (CustomerLake)Active

Databricks
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The opportunity

Marketing teams are stuck between fragmented customer data and martech stacks that copy that data into proprietary silos while customers expect real-time, personalized experiences. Customer Lake, the agentic Customer Data Platform (CDP) built natively into Databricks, changes that equation.

What you'll do

  • Provide technical leadership to guide strategic customers to successful: implementations on customer data and marketing projects, ranging from architectural design to data engineering to identity resolution, audience activation, and agent deployment

  • Collaborate with GTM leadership and account teams to design and execute: high-impact engagement strategies across your territory, driving Customer Lake adoption from initial Customer 360 build-out through full CDP augmentation or replacement.

  • As a trusted advisor, serve as an expert Solutions Architect building: technical credibility with CMOs, heads of marketing technology (MarTech), data engineering leaders, and marketing and analytics teams to drive product adoption and vision.

  • Enable clients at scale through workshops, POC execution, and developing: customer-facing collateral that increases technical knowledge and demonstrates the value of an embedded, agentic CDP architecture.

  • Influence product roadmap by translating field-derived, data-driven insights: into strategic recommendations for Product and Engineering teams.

  • Handle the most complex technical challenges in this product line by acting: as the tier-3 escalation point for the field, ensuring customer success in mission-critical, customer-facing data environments.

What they're looking for

  • Establish and refine the sales qualification and POC intake process, ensuring: well-scoped engagements that maximize customer success and minimize friction for R&D.
  • + years of customer data platform (CDP), marketing technology (MarTech), or: customer data engineering expertise, with a proven track record of designing and delivering client-facing customer data and activation solutions (of which 3+ years are in a customer-facing, pre-sales or consulting role).
  • Experience with design and implementation of data and AI applications for: marketing and customer engagement, including identity resolution, segmentation, personalization and next-best-action, and agentic AI workflows for audience building and campaign activation.
  • Deep familiarity with CDP and martech/adtech platforms, including: composable-CDP architectures (Salesforce Data Cloud, Adobe, Segment, Treasure Data, Braze, or similar), including implementation, identity resolution, audience activation, and migration strategies.