Sr. Solutions Architect (CustomerLake)

Databricks · Tokyo, Japan · Field Engineering - Other · listed September 4, 2026

The shape of it

Seniority
Principal
Where
Not stated
Requirements listed
0
Length
873 words

In the posting’s own words

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. It 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 across channels, all without copying data out of the Lakehouse or adding vendor lock-in.

What the job covers

  • 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.
  • Establish and refine the sales qualification and POC intake process, ensuring well-scoped engagements that maximize customer success and minimize friction for R&D.
  • 5+ 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.
  • Strong understanding of the customer data landscape: first-party data (web, app, CRM, POS), third-party and enrichment data, identity graphs, consent and privacy signals, and martech/adtech destinations (ad platforms, email/SMS, CRM, and analytics tools).
  • Experience operationalizing customer data as governed data products, including audience and segment definition in SQL or natural language (Genie), reverse-ETL and activation pipelines, and metric, identity, and consent governance in Unity Catalog.

Degree language

  • Undergraduate degree (or higher) in a technical field such as Computer Science, Data Science, Applied Mathematics, Engineering or similar.

Tools and skills named

Go to market
  • Customer success2×
  • Go-to-market2×
  • Solutions architecture2×
  • Salesforce
Data
  • Databricks2×
  • Data warehouse
  • ETL
Cloud & infra
  • AWS
  • Azure
  • GCP
Languages
  • SQL
Product & design
  • Roadmap

Words the posting leans on

  • customer26×
  • data26×
  • customer data10×
  • marketing8×
  • customer lake7×
  • activation6×
  • cdp6×
  • platform6×
  • audience5×
  • experience5×
  • product5×
  • technical5×
  • adoption4×
  • agentic4×
  • engagement4×
  • solutions4×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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How this page was made

An automated read of a public job posting, fetched September 4, 2026 and last changed by Databricks on September 4, 2026. Every list above is pulled from the posting’s own sentences — nothing rewritten, nothing added, no judgment about the role or the company. Counts and seniority are read off the text by rule, so they can be wrong where the posting is unusual. The original is the only thing that binds. Openings close without warning; check the source before spending an evening on it.