Senior Solutions Architect (Customer Lake)

About the role

Databricks is hiring a Senior Solutions Architect for its Customer Lake product in Tokyo. Customer Lake is an agentic Customer Data Platform (CDP) built natively into Databricks, which unifies first- and third-party data into governed Customer 360 profiles, resolves identities and uses agents to build audiences, recommend next-best actions and activate campaigns. The Solutions Architect team is part of a dedicated global go-to-market organization focused on adoption and revenue growth for Customer Lake.

Key responsibilities

• Guide strategic customers to successful implementations, covering architectural design, data engineering, identity resolution, audience activation and agent deployment.
• Work with GTM leadership and account teams to design and run engagement strategies, moving customers from initial Customer 360 build-out through full CDP augmentation or replacement.
• Serve as a trusted advisor to CMOs, MarTech and data engineering leaders, building technical credibility and driving product adoption.
• Run workshops and POCs, and create customer-facing collateral that shows the value of an embedded, agentic CDP architecture.
• Influence the product roadmap by turning field insights into recommendations for Product and Engineering teams.
• Act as the tier-3 escalation point for complex technical challenges in the field.
• Help establish and refine the sales qualification and POC intake process.

Required profile

• 5+ years of experience in CDP, MarTech or customer data engineering, with 3+ years in a customer-facing pre-sales or consulting role.
• Proven track record of designing and delivering client-facing customer data and activation solutions.
• Undergraduate degree (or higher) in a technical field such as Computer Science, Data Science, Applied Mathematics or Engineering.
• Full professional proficiency in Japanese is mandatory; business-level English is preferred.

Required skills

• Design and implementation of data and AI applications for marketing, including identity resolution, segmentation, personalization, next-best-action and agentic AI workflows.
• Deep familiarity with CDP and martech/adtech platforms (e.g., Salesforce Data Cloud, Adobe, Segment, Treasure Data, Braze) and composable CDP architectures.
• Understanding of first-party, third-party and enrichment data, identity graphs, consent and privacy signals, and martech/adtech destinations.
• Operationalizing customer data as governed data products, including audience and segment definition in SQL or Genie, reverse-ETL and activation pipelines, and governance in Unity Catalog.
• Experience working with Global System Integrators and third-party consultants.
• Hands-on experience building solutions in AWS, Azure or GCP.