Delivery Solutions Architect
Databricks is a data and AI platform that lets organizations build analytics, AI agents, and applications on a unified, governed lakehouse.
Funding history
Investors
About Databricks
Data engineers, analysts, and AI teams use Databricks to process large datasets, build reliable pipelines, and train models on a single governed platform. Users can run SQL analytics, serve ML predictions in real time, and deploy AI agents grounded in enterprise data. Its open lakehouse architecture provides consistent security and governance across analytical and operational workloads.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will provide technical leadership and support to customers who have already decided to adopt Databricks, helping them get maximum value. You will define technical execution strategy across complex use cases, act as a trusted advisor to customer architects, design secure and scalable Databricks architectures, build prototypes and reusable assets, and mentor colleagues. Travel up to about 30% as needed.
Requirements
- 5+ years in solution architecture, solution engineering, technical consulting, professional services or data engineering
- Experience influencing technical strategy across complex use cases
- Strong coding ability in Python, SQL or similar
- Deep understanding of distributed data systems, data engineering, analytics, data warehousing, AI/ML and cloud architecture
- Experience designing secure, governed, scalable production data solutions
- Experience leading architecture discussions with senior stakeholders
- Stakeholder management and cross-functional leadership
- Bachelor's degree in computer science, engineering or equivalent
- Full professional proficiency in Japanese
Responsibilities
- Define technical execution strategy across complex use cases and workstreams in strategic accounts
- Act as trusted technical advisor and lead architecture discussions
- Design secure, governed and scalable Databricks architectures
- Build and demonstrate solutions, prototypes and reusable technical assets
- Establish best practices for security, governance and operational excellence
- Drive platform adoption and usage by removing delivery blockers
- Coordinate resources, manage risk and accelerate delivery
- Mentor colleagues and contribute reusable guidance and enablement
Hiring Process
Recruiter Screen → Hiring Manager Screen → Design & Architecture → Vibe Coding → Build, Demo & Delivery → Reference Check