Sr. Solutions Architect (Lakebase)

Req ID : FEQ427R279 Location : Tokyo, Japan At Databricks, our core values are at the heart of everything we do; a culture of proactiveness and customer‑centricity guides us to build a unified platform that makes data and AI accessible to everyone. In Japan Public Sector , we help central ministries, agencies, local governments, and public institutions use data and AI to deliver better, more trusted services to citizens. You will be the senior technical leader for a set of strategic public sector accounts in Japan, using your executive‑level technical credibility and government expertise to shape and execute their data and AI strategy. Reporting to: Director, Field Engineering, Japan The impact you will have Own technical strategy for key Japan public sector customers, defining the target architecture and roadmap for their Databricks‑based data and AI platform. Lead solution design for priority government use cases (e.g., citizen 360 and eligibility, program analytics, smart infrastructure, cybersecurity, fraud/waste/abuse). Design for security and compliance , ensuring architectures meet public sector expectations on data residency, access control, governance, and auditability. Turn pilots into platforms , linking Databricks to visible mission outcomes and using those wins to drive expansion across bureaus, departments, and levels of government. Influence the ecosystem , collaborating with SIs, cloud providers, and public sector partners to deliver integrated, production‑grade solutions on Databricks. Mentor others , coaching Solutions Architects and partners on how to work effectively with Japan public sector stakeholders and patterns on the Databricks platform. What we look for 5+ years in data platforms, analytics, or cloud architecture, including significant experience with public sector organizations in Japan . Proven ability to build trust with senior government stakeholders (CIO, CDO, chief architect, bureau/department leaders) and lead high‑stakes technical

Req: FEQ427R110 Location: Tokyo, Japan 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. The Solutions Architect (Customer Lake) team is part of a dedicated, global go-to-market organization focused on driving adoption and revenue growth for Customer Lake, Databricks’ agentic Customer Data Platform (CDP) built natively into the Data Intelligence Platform. The Customer Lake SA will engage clients across business units and verticals, build relationships with marketing and data stakeholders, position Customer Lake in depth, and deliver presentations, demos, and POCs that drive informed adoption decisions. They will understand the guardrails and the steps needed to successfully land and expand Customer Lake as clients deliver on their customer engagement and growth objectives. The impact you will have 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,

Req: CSQ327R249 Location: Tokyo, Japan At Databricks, we are on a mission to empower our customers to solve the world's toughest data and AI problems by utilizing the Databricks Data Intelligence Platform. As a Sr. Delivery Solutions Architect, you will partner with Sales, Solutions Architecture, and Field Engineering to accelerate the adoption, growth, and strategic impact of Databricks with our most complex customers. You will serve as a senior technical advisor, helping customers design, implement, scale, and optimize complex data and AI solutions across business units, geographies, and product areas. This is a highly technical and strategic customer-facing role. You will define technical execution strategies for high-value accounts, drive architectural alignment across complex use cases, and orchestrate Databricks, customer, and partner teams to deliver measurable outcomes. You will build trusted relationships with senior technical and executive stakeholders while contributing expertise, frameworks, and best practices that scale beyond individual customer engagements. The Impact You Will Have Define technical execution strategy across high-value, complex customer accounts spanning multiple use cases, business units, geographies, or product areas Serve as a senior technical advisor to customer architects, technical leaders, and Director/VP-level stakeholders Design and influence secure, governed, scalable architectures while balancing performance, cost, reliability, and long-term platform strategy Orchestrate Databricks, customer, and implementation partner teams to align technical execution and accelerate strategic outcomes Anticipate platform maturity and scaling needs and establish technical standards for security, governance, developer experience, and operational excellence Drive adoption, consumption, and measurable business outcomes through technical strategy and execution Lead complex technical escalations spanning multiple systems, teams, or workloads Bui

CSQ127R187 Location: Tokyo, Japan As a Senior Technical Solutions Engineer, you will provide technical support for Databricks Platform related issues and resolve any challenges involving the Databricks unified analytics platform. You will assist customers in their Databricks journey and provide them with the guidance and knowledge that they need to accomplish value and achieve their strategic goals using our products. They will look to you for answers to everything from basic technical questions to complex architectural scenarios spanning across the entire Big Data ecosystem. You will report to the Senior Manager of Technical Solutions. The Impact You Will Have Troubleshoot and resolve complex customer issues related to Databricks platform Provide best practices support for custom-built solutions developed by Databricks customers Deliver suggestions for improving performance in customer-specific environments Assist with issues around third-party integrations with Databricks environment Demonstrate and coordinate with engineering and escalation teams to achieve resolution of customer issues and requests Participate in the creation and maintenance of company documentation and knowledge articles Be a true proponent of customer advocacy Strengthen your AWS/Azure and Databricks platform expertise through learning and internal training programs Participate in weekend and weekday on call rotation What We Look For 4+ years experience designing, building, testing, and maintaining Python/Java/Scala based applications. Expert level knowledge in python is desired . Strong experience with SQL-based database is required. Linux/Unix administration skills. Hands-on experience with AWS, Azure or GCP. Experience with "Distributed Big Data Computing" environment. Technical degree or the equivalent experience. Written and spoken proficiency in both Japanese and English About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — includ

Req ID: CSQ427R251 Location: Tokyo, Japan As a Sr. Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best p

About Dialpad Dialpad is the AI platform for customer experience, built to resolve customer problems in real time across voice and digital. Our AI agents learn from your best human agents and improve with every interaction, helping organizations understand their customers, deliver better experiences, increase operational efficiencies, and build a lasting competitive advantage. Unlike legacy systems built to route and answer, or standalone agentic bot vendors built to deflect, Dialpad was built to resolve. Our AI agents and human agents operate on a single platform with shared context, allowing Agentic AI to resolve issues, advance deals, and eliminate busywork through automation while seamlessly handing conversations to humans when needed, with full context preserved. Market-leading brands, including Randstad, Motorola Solutions, Netflix, the San Diego Padres, the Colorado Rockies Baseball Club, and Cal Athletics, trust Dialpad. Dialpad is backed by Andreessen Horowitz, GV, ICONIQ Capital, and T-Mobile. Being a Dialer At Dialpad, AI isn’t just a feature; it’s how our teams do their best work every day. We put powerful AI tools in every employee’s hands so they can move faster, think bigger, and achieve more. We believe every conversation matters. And we’ve built the platform that turns those conversations into insight and action, for our customers and ourselves. We look for people who are intensely curious and hold themselves to a high bar. Our ambition is significant, and achieving it requires a team that operates at the highest level. We seek individuals who embody our core traits: Scrappy, Curious, Optimistic, Persistent, and Empathetic . Your role Dialpad’s Quality Engineering team ensures the reliability, scalability, and seamless customer experience of our AI-first communications platform across third-party integrations and enterprise workflows. As a Sr. QA Engineer, you will own the quality strategy and release readiness for assigned product areas, partnering