Solutions Architect, CustomerLake

In this role you drive adoption and successful implementations of the agentic Customer Data Platform (CDP) called Customer Lake, embedded in Databricks. You will work with marketing and data stakeholders to design architectures, build audiences, and enable activation across channels. You’ll deliver demos, POCs, and strategic guidance to land-and-expand deployments, influencing product direction through field insights. You join a global GTM team focused on revenue growth and customer success within a data-driven, privacy-conscious stack.

• Provide technical leadership on customer data and marketing projects from architecture to data engineering and identity resolution
• Collaborate with GTM leadership and account teams to design high-impact adoption strategies across territories
• Serve as trusted technical advisor to CMOs, MarTech leads, data engineers, and marketing teams to drive product adoption
• Enable scale via workshops, POC execution, and development of customer-facing collateral showcasing the value of embedded CDP
• Influence product roadmap by translating field insights to Product and Engineering teams
• Act as tier-3 escalation point for complex technical challenges in mission-critical data environments
• Establish and refine the sales qualification and POC intake process to maximize customer success and minimize friction for R&D

• 5+ years in CDP, MarTech, or customer data engineering with client-facing delivery experience (3+ years in pre-sales or consulting)
• Experience designing and deploying data and AI applications for marketing and engagement (identity resolution, segmentation, personalization, next-best-action) and agentic AI workflows
• Deep familiarity with CDP and martech/adtech platforms (composable-CDP architectures) and migration strategies
• Strong knowledge of first/third-party data, identity graphs, consent and privacy signals, and martech/adtech destinations
• Experience operationalizing data as governed data products (audience/segment definitions in SQL or natural language, reverse-ETL, Unity Catalog governance)
• Collaboration with GSIs and third-party consultants to deliver marketing and data outcomes
• Hands-on experience with cloud vendors (AWS, Azure, or GCP) and cloud-native ingestion, activation, governance
• Undergraduate degree in a technical field such as Computer Science, Data Science, Engineering or similar

• Cross-functional collaboration
• Strategic advisory and stakeholder management
• Strong communication and presentation skills
• CDP and martech/adtech platforms (composable-CDP architectures)
• Identity resolution and audience activation
• Agentic AI workflows for marketing