Sr. Solutions Architect (CustomerLake)

Databricks
Tokyo
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 5+ yearsEducation: bachelorsSkills: ["Technical leadership","Relationship building","Consultative communication","Problem solving","Collaboration"]

Provide technical leadership to guide strategic customers in implementing Customer Lake across customer data, marketing technology, identity resolution, audience activation, and agentic AI workflows. Work with GTM and account teams to design engagement strategies that drive adoption from Customer 360 build-out through augmentation or replacement. Deliver presentations, demos, and POCs, handle complex escalations, and translate field insights into roadmap recommendations for Product and Engineering.

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FursaFursa
Databricks
Databricks
1 day ago

Sr. Solutions Architect (CustomerLake)

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Last checked: 8 hours agoStatus: Live

Job Summary

Provide technical leadership to guide strategic customers in implementing Customer Lake across customer data, marketing technology, identity resolution, audience activation, and agentic AI workflows. Work with GTM and account teams to design engagement strategies that drive adoption from Customer 360 build-out through augmentation or replacement. Deliver presentations, demos, and POCs, handle complex escalations, and translate field insights into roadmap recommendations for Product and Engineering.
Location: Tokyo
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Provide technical leadership to guide customers from architectural design through data engineering, identity resolution, audience activation, and agent deployment.
  • •Collaborate with GTM leadership and account teams to design and execute engagement strategies that drive Customer Lake adoption across the territory.
  • •Serve as a trusted advisor by building technical credibility with C-suite and marketing technology/data engineering stakeholders.
  • •Enable clients at scale through workshops, POC execution, and customer-facing collateral demonstrating an embedded, agentic CDP architecture.
  • •Act as tier-3 escalation for complex technical challenges and translate field insights into recommendations for Product and Engineering.

Key Requirements

  • •5+ years of customer data platform (CDP), marketing technology (MarTech), or customer data engineering expertise, including client-facing pre-sales or consulting experience (3+ years).
  • •Experience designing and delivering identity resolution, segmentation, personalization, 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) with implementation and migration experience.
  • •Strong understanding of customer data ecosystems, including first-party/third-party data, identity graphs, consent/privacy signals, and destination platforms.
  • •Hands-on experience with major public clouds (AWS, Azure, or GCP) and an undergraduate degree (or higher) in a technical field; full professional proficiency in Japanese is mandatory.
Experience:5+ yearsCustomer data platform (CDP)Marketing technology (MarTech)Customer data engineeringAgentic AI
Education:Bachelor's
Skills:Technical leadershipRelationship buildingConsultative communicationProblem solvingCollaboration
Languages:JapaneseEnglish
Tech Stack:DatabricksCustomer LakeCDPLakehouseUnity CatalogSQLGenieLakebaseAgent BricksLakeflowSalesforce Data CloudAdobeSegmentTreasure DataBrazeAWSAzureGCP

Company Brief

Databricks
Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.
Industry: Data Infrastructure
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2013
WebsiteLinkedIn