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Benefits Diversity Engineering Research Students & new grads Back to search results Manager, Forward Deployed Engineering Tokyo, Japan Apply now Req ID: CSQ427R97 Location: Tokyo, Japan Mission We are FDEs! The Forward Deployed Engineering team is a highly specialized, customer-facing unit within Databricks. We work with strategic customers to design, build, and productionize high-impact data and AI solutions on the Databricks Data Intelligence Platform. As Manager, Forward Deployed Engineering, you will lead and grow a team of customer-facing engineers focused on solving complex data engineering and AI challenges for some of our most strategic customers. You will help shape delivery strategy, develop senior technical talent, build trusted executive relationships, and ensure our teams deliver measurable customer outcomes at high quality and scale. This is a hands-on leadership role: you will manage and grow
the team while remaining the senior technical authority they escalate to. This role is ideal for a leader who combines strong people management with deep technical credibility in data engineering, platform architecture, and large-scale production delivery. The impact you will have Lead, hire, mentor, and grow a team of ~10 high-performing Forward Deployed Engineers, building a strong culture of technical excellence, customer obsession, and execution Partner with customers and internal stakeholders to shape complex engagements that deliver meaningful business outcomes on Databricks Guide teams through end-to-end solution delivery, from discovery and architecture through implementation, deployment, and enablement Build trusted relationships with technical and executive stakeholders, acting as a senior advisor during strategic customer engagements Serve as the senior technical escalation point for
the team. Stay hands-on enough to dive into architecture reviews, unblock complex delivery issues, and make high-stakes technical calls alongside your engineers on the most strategic accounts. Coach engineers on solution design, stakeholder management, delivery quality, and long-term career development Partner closely with Sales, Field Engineering, Product, and Professional Services leadership to align on account strategy, staffing, and execution Improve repeatability and scale by developing reusable patterns, delivery best practices, technical assets, and team processes Help the organization grow its presence in data engineering-led transformations, including modern data platforms, pipelines, governance, and production workloads What we look for Experience leading, hiring, and developing high-performing technical teams in customer-facing environments Current, hands-on technical credibility. Able to personally review designs, debug production issues, and act as the final technical escalation point rather than manage from above. Strong background in data engineering, big data systems, and production data platform delivery Experience across modern data workloads such as ingestion, transformation, orchestration, warehousing, analytics/BI, or streaming in enterprise environments Strong hands-on fluency in Python and SQL; familiarity with distributed processing frameworks (Apache Spark) and JVM languages (Scala/Java) is a plus Passion for reinventing delivery through AI. Continuously experiments with and operationalizes the latest AI coding tools (e.g., Genie, Claude Code, Codex) to improve productivity, quality, and repeatability across
the team Ability to scope and guide complex technical engagements, manage escalations, and ensure successful delivery across multiple stakeholders Strong executive communication skills, with the ability to translate technical decisions into business impact, or vice versa Comfort operating in ambiguous environments and leading teams through fast-moving, high-visibility customer work Experience working with cloud platforms such as AWS, Azure, or Google CloudGCP Fluent Japanese is required, and business-level English is required Preferred
qualifications Experience delivering lakehouse, analytics, or AI-adjacent solutions in complex enterprise environments Deep hands-on understanding of Apache Spark, distributed data processing, and modern data architecture patterns Familiarity with data governance, security, and platform operating models Experience building reusable delivery frameworks, technical accelerators, or practice-level standards Track record of influencing cross-functional strategy across sales, product, and delivery organizations About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter , LinkedIn and Facebook .
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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. Why Databricks Discover For App Developers For Executives For Startups Lakehouse Architecture Databricks AI Research Customers Customer Stories Partners Partner Overview Partner Program Find a Partner Partner Spotlight Cloud Providers Partner Solutions Why Databricks Discover For App Developers For Executives For Startups Lakehouse Architecture Databricks AI Research Customers Customer Stories Partners Partner Overview Partner Program Find a Partner Partner Spotlight Cloud Providers Partner Solutions Product Databricks Platform Platform Overview AI Assistant Application Development Artificial Intelligence Business Intelligence Customer Data Platform Data Engineering Data Warehousing Database Governance Security Sharing Pricing Pricing Overview Pricing Calculator Open Source Integrations and Data Marketplace IDE Integrations Partner Connect Product Databricks Platform Platform Overview AI Assistant Application Development Artificial Intelligence Business Intelligence Customer Data Platform Data Engineering Data Warehousing Database Governance Security Sharing Pricing Pricing Overview Pricing Calculator Open Source Integrations and Data Marketplace IDE Integrations Partner Connect Solutions Databricks For Industries Communications Financial Services Healthcare and Life Sciences Manufacturing Media and Entertainment Public Sector Retail View All Cross Industry Solutions AI Agents AI Governance Cybersecurity Marketing Data Migration Forward Deployed Engineering Solution Accelerators Solutions Databricks For Industries Communications Financial Services Healthcare and Life Sciences Manufacturing Media and Entertainment Public Sector Retail View All Cross Industry Solutions AI Agents AI Governance Cybersecurity Marketing Data Migration Forward Deployed Engineering Solution Accelerators Resources Documentation Customer Support Community Learning Training Certification Free Edition University Alliance Databricks Academy Login Events Data + AI Summit Data + AI World Tour AI Days Event Calendar Blog and Podcasts Databricks Blog AI Blog Data Brew Podcast Champions of Data & AI Podcast Resources Documentation Customer Support Community Learning Training Certification Free Edition University Alliance Databricks Academy Login Events Data + AI Summit Data + AI World Tour AI Days Event Calendar Blog and Podcasts Databricks Blog AI Blog Data Brew Podcast Champions of Data & AI Podcast About Company
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Named Enterprise Account Executive, Financial Services
Partner Enablement Operations Manager
Specialist Solutions Architect - Cloud Platform & Infrastructure (Azure)
Named Core Account Executive (Public Sector)
Lead Engagement Manager, FDE - CMEG
Location
Tokyo, Japan
Last stage
Growth
Investors
Ali Ghodsi
CEO
No applications, no recruiter spam. Just the intro.
A few questions to make sure this role is the right shape for you. Two minutes.
I write the intro, send it to the founder, and handle the back-and-forth.
If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.