Sr. Solutions Architect (CustomerLake)
Databricks2 months ago
Tokyo, JapanSenior
Responsibilities
- Guide strategic customers through architecture, data engineering, identity resolution, audience activation, and agent deployment for customer data and marketing projects.
- Collaborate with GTM leadership and account teams to drive Customer Lake adoption across assigned territories.
- Advise CMOs, MarTech leaders, data engineering leaders, and marketing and analytics teams as a trusted technical expert.
- Deliver workshops, presentations, demonstrations, POCs, and customer-facing technical collateral.
- Influence Product and Engineering roadmaps using field-derived customer and market insights.
- Act as the tier-3 escalation point for complex technical challenges in customer-facing data environments.
- Establish and refine sales qualification and POC intake processes to improve engagement quality and customer outcomes.
- Collaborate with GSIs and third-party consulting organizations on marketing and customer data initiatives.
Requirements
- 5+ years of CDP, MarTech, or customer data engineering experience, including at least 3 years in a customer-facing, pre-sales, or consulting role.
- Proven experience designing and delivering client-facing customer data and activation solutions.
- Experience designing and implementing data and AI applications for marketing and customer engagement, including identity resolution, segmentation, personalization, next-best-action, and agentic AI workflows.
- Deep familiarity with CDP and MarTech/AdTech platforms such as Salesforce Data Cloud, Adobe, Segment, Treasure Data, or Braze, including implementation, identity resolution, activation, and migration strategies.
- Strong understanding of first-party and third-party data, enrichment data, identity graphs, consent and privacy signals, and marketing activation destinations.
- Experience operationalizing customer data as governed data products, including audience definition in SQL or Genie, reverse-ETL and activation pipelines, and metric, identity, and consent governance in Unity Catalog.
- Hands-on experience building solutions in AWS, Azure, or GCP and 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 a similar discipline.
- Full professional proficiency in Japanese is mandatory; business-level English proficiency is preferred.
Benefits
- Comprehensive benefits and perks are offered, with region-specific details available for employees in Japan.
Tech Stack
Categories
Solutions Engineering
About Databricks
Databricks builds a cloud-based data and AI platform centered on the lakehouse architecture, combining data engineering, analytics, and machine learning with Apache Spark, Delta Lake, and MLflow. It sells subscriptions and cloud services to enterprises that need to unify data pipelines and develop large-scale AI and analytics. Founded in 2013 by the creators of Apache Spark and headquartered in San Francisco, the company is privately held and serves organizations across many industries.