Sr. Solutions Architect (CustomerLake)
About this role
Professionals who enjoy bridging the gap between deep technical architecture and client-facing strategy will find a strong fit in this position at Databricks in Tokyo. The team focuses on Customer Lake, an agentic customer data platform built directly into the Databricks Data Intelligence Platform to help organizations unify first- and third-party data without relying on proprietary silos.
This role exists to guide enterprise clients through complex adoption journeys, ranging from initial Customer 360 build-outs to full customer data platform replacements. Day-to-day work involves delivering technical presentations, leading proof of concepts, and advising marketing and data engineering leaders on identity resolution, audience activation, and AI-driven campaigns.
What you will do
- Provide technical leadership to guide strategic customers through implementations involving customer data architecture, identity resolution, audience activation, and agent deployment.
- Collaborate with go-to-market leadership and account teams to design and execute engagement strategies that drive adoption across the assigned territory.
- Serve as a trusted advisor and technical expert to chief marketing officers, marketing technology heads, and data engineering leaders.
- Enable clients at scale by conducting workshops, managing proof of concept execution, and creating customer-facing technical collateral.
- Translate field-derived insights into strategic recommendations for product and engineering teams to influence the product roadmap.
- Act as the tier-3 escalation point for the product line to resolve complex technical challenges in mission-critical customer environments.
- Establish and refine sales qualification and proof of concept intake processes to ensure well-scoped engagements.
What you need
- Bring five or more years of expertise in customer data platforms, marketing technology, or customer data engineering, with at least three years in a customer-facing pre-sales or consulting capacity.
- Demonstrate experience designing and implementing data and artificial intelligence applications for marketing, including segmentation, personalization, and agentic workflows.
- Possess deep familiarity with customer data platforms and martech ecosystems such as Salesforce Data Cloud, Adobe, Segment, Treasure Data, or Braze.
- Maintain a strong understanding of the customer data landscape, including identity graphs, consent and privacy signals, and activation destinations.
- Show hands-on experience operationalizing governed data products using SQL, reverse-ETL pipelines, and identity governance tools.
- Hold an undergraduate degree or higher in a technical field like Computer Science, Data Science, Applied Mathematics, or Engineering.
- Demonstrate full professional proficiency in Japanese alongside business-level English proficiency.
Skills and tech stack
Questions candidates ask
What is the location for this role?
This position is located in Tokyo, Japan, as part of the local and global go-to-market organization.
What background is required for this position?
Candidates need 5+ years of customer data platform, martech, or customer data engineering expertise, including 3+ years in a pre-sales or consulting role.
What language skills are necessary?
Full professional proficiency in Japanese is mandatory, and business-level English proficiency is preferred.
What does the Solutions Architect team focus on?
The team focuses on driving adoption and revenue growth for Customer Lake, an agentic customer data platform built natively into the Databricks Data Intelligence Platform.