Delivery Solutions Architect
Delivery Solutions Architect partners with customers and internal teams to design, implement, and optimize secure, scalable Databricks data and AI solutions. The role requires 5+ years of technical experience, strong coding and cloud architecture skills, customer-facing leadership, and professional Japanese proficiency.
About the job
Responsibilities
- Define and influence technical execution strategies across complex use cases and multiple workstreams within strategic accounts.
- Advise customer technical leads and architects, lead architecture discussions, and guide technical decisions.
- Design secure, governed, scalable Databricks architectures while balancing performance, cost, reliability, and long-term needs.
- Build and demonstrate working solutions, prototypes, and reusable technical assets.
- Establish best practices for security, governance, and operational excellence as platforms scale.
- Drive customer adoption and consumption by influencing architecture, unblocking delivery, and connecting technical execution to business outcomes.
- Partner with Databricks, customer, and implementation teams to align resources, manage risks, and accelerate delivery.
- Mentor peers and contribute reusable technical guidance, frameworks, and enablement.
Requirements
- 5+ years of experience in solutions architecture, solutions engineering, technical consulting, professional services, data engineering, or a related technical role.
- Experience influencing technical strategy and architecture across complex customer use cases or multiple workstreams.
- Strong coding proficiency in Python, SQL, Scala, or similar languages, including the ability to build, debug, and validate technical solutions.
- Deep understanding of distributed data systems, data engineering, analytics, data warehousing, AI/ML, and modern cloud architectures.
- Experience designing secure, governed, scalable, production-ready data solutions.
- Ability to solve ambiguous technical problems, evaluate trade-offs, and validate solutions through structured analysis or experimentation.
- Experience leading architecture discussions with technical leads, architects, and senior customer stakeholders.
- Understanding of platform operational excellence, including security, governance, performance, reliability, and cost optimization.
- Demonstrated ability to drive customer adoption, consumption, and measurable business outcomes through technical leadership.
- Strong stakeholder management and cross-functional leadership skills, with the ability to align teams without formal authority.
- Bachelor's degree in Computer Science, Engineering, or equivalent experience.
- Full professional proficiency in Japanese; business-level English proficiency preferred.
Nice to Have
- Databricks experience or certification.
- Technical specialization in AI/ML, data engineering, streaming, data warehousing, governance, or migrations.
- Experience with AWS, Azure, or Google Cloud and production cloud deployments.
- Experience creating reusable technical frameworks, demos, or enablement materials.
Benefits
- Comprehensive benefits and perks, with details varying by region.
- Up to 30% travel as needed.
Skills
Python, SQL, Scala, Databricks, Distributed Systems, Data Engineering, Data Warehousing, AI/ML, AWS, Azure, GCP, Data Governance, Cloud Architecture, Streaming
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