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.
Competencies & Responsibilities
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.
Experience collaborating with Global System Integrators (GSIs) and third-party consulting organizations to drive customer outcomes in marketing and customer data initiatives.
Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP), with an understanding of cloud-native data ingestion, activation, and governance.
Undergraduate degree (or higher) in a technical field such as Computer Science, Data Science, Applied Mathematics, Engineering or similar.
Full professional proficiency in Japanese is mandatory; business-level English proficiency is preferred.
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
