Databricks
Technology
Sr.ForwardDeployedEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Sr. Forward Deployed Engineer at Databricks. Skills: Data Engineering, Cloud Ecosystems, Apache Spark, MLOps. Build productionize solutions. Implement customer projects”
What You'll Achieve.
Customer successful understanding; Customer successful evaluation; Customer successful adoption; Deliver impact; Manage measurable outcomes
Industry & Context.
Root cause analysis; Troubleshooting
Travel 20%, Fluent Japanese, Professional English
What They're Looking For.
Must Have
6+ years experience data engineering, 6+ years experience data platforms, 6+ years experience analytics, 6+ years experience software engineering, Comfortable writing code Python, Comfortable writing code Scala, Comfortable writing code JavaScript/TypeScript, Comfortable writing code modern frameworks, Working knowledge AWS, Working knowledge Azure, Working knowledge GCP, Expertise in at least one cloud, Deep experience distributed computing, Knowledge Spark runtime internals, Familiarity CI/CD, Working knowledge MLOps, Working knowledge ML/AI models, Working knowledge AI APIs, Fluent in Japanese, Professional working proficiency English
Nice to Have
Databricks Certification
What You'll Do.
Build productionize solutions
Implement customer projects
Lead architecture decisions
Lead design decisions
Ensure solutions secure
Ensure solutions scalable
Align solutions customer needs
Align solutions Databricks best practices
Work with Databricks technical team
Work with Project Manager
Work with Customer team
Deliver technical components
Work with Engineering
Work with Databricks Customer Support
Provide product feedback
Provide implementation feedback
Guide rapid resolution
Embed with customer teams
Engage with stakeholders
Understand challenges
Contribute accelerators
Contribute frameworks
Contribute best practices
Influence Databricks product roadmap
Design data architectures
Design data applications
Deploy data architectures
Deploy data applications
Combine data pipelines
Combine user-facing interfaces
Manage measurable outcomes
Translate complex concepts
Build skills technical areas
Explore new technologies
Support deployment Databricks solutions
Support integration Databricks solutions
Complete customer projects
How You'll Work.
Team & Collaboration
Databricks technical team; Project Manager; Architect; Customer team; Engineering; Databricks Customer Support; Customer teams; Stakeholders
Communication Scope
White-boarding skills
Process & Methodology
Scope management, Timeline management, Outcome management
Full Job Description
Req ID: CSQ327R52 Location: Tokyo, Japan As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data 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 practices. Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for: 6+ years experience in data engineering, data platforms & analytics, or software engineering Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/AI models and AI APIs Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces. Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. Documentation and wh
Applying for this Sr. Forward Deployed Engineer role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
ANONYMOUS · UNFILTERED
What do employees actually say about Databricks?
Real rants from real employees. Read before you apply.