How much experience is required?

At least 5 years of relevant experience for this Delivery Solutions Architect role.

What's the tech stack?

Joblaze extracted these technologies from the posting: AI/ML, Cloud, Data Engineering, Data Warehousing, Python, SQL.

What seniority level is this role?

Databricks targets senior candidates for this position.

Is this full-time or contract?

Full-time for this Delivery Solutions Architect role at Databricks.

Delivery Solutions Architect at Databricks

Joblaze summary

In the role of Delivery Solutions Architect at Databricks, the individual will engage with clients to design and implement data and AI solutions, ensuring they align with business objectives. Key skills include proficiency in Python, SQL, and a strong grasp of distributed data systems and cloud architectures. This position is ideal for someone with over five years of experience in solutions architecture or related fields, capable of influencing technical strategies and leading discussions with senior stakeholders. The role emphasizes collaboration across teams to drive customer adoption and optimize technical execution.

Joblaze insights

Listed 2 days ago — first seen on Joblaze September 21, 2026. Last confirmed on Databricks's careers page September 23, 2026.
This exact title is also open at 5 other locations at Databricks: Mumbai, India, Tokyo, Japan, London, United Kingdom, Melbourne, Australia; Queensland, Australia, Amsterdam, Netherlands.

Quick facts

How much experience is required?: At least 5 years of relevant experience for this Delivery Solutions Architect role.
What's the tech stack?: Joblaze extracted these technologies from the posting: AI/ML, Cloud, Data Engineering, Data Warehousing, Python, SQL.
What seniority level is this role?: Databricks targets senior candidates for this position.
Is this full-time or contract?: Full-time for this Delivery Solutions Architect role at Databricks.

From the original posting

CSQ427R260

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 Delivery Solutions Architect (DSA), you will partner with Sales, Solutions Architecture, and Field Engineering to accelerate adoption and growth of the Databricks platform. You will serve as a trusted technical advisor, helping customers design, implement, scale, and optimize data and AI solutions that deliver measurable business value.

This is a technical and customer-facing role focused on architecture, technical strategy, and customer outcomes. You will influence technical execution across complex use cases, guide architectural decisions, and align Databricks, customer, and partner teams from technical win through production and adoption.

The Impact You Will Have

Define and influence technical execution strategies across complex use cases and multiple workstreams within strategic accounts
Serve as a trusted technical advisor to customer technical leads and architects, leading architecture discussions and guiding technical decisions
Design secure, governed, and scalable Databricks architectures while balancing performance, cost, reliability, and long-term needs
Build and demonstrate working solutions, prototypes, and reusable technical assets that accelerate customer outcomes
Anticipate platform maturity and scaling needs and establish best practices for security, governance, and operational excellence
Drive adoption and consumption by influencing architecture, unblocking delivery, and connecting technical execution to business outcomes
Partner across Databricks, customer, and implementation teams to align resources, manage risks, and accelerate delivery
Mentor peers and contribute reusable technical guidance, frameworks, and enablement across the organization

What We Look For

5+ years in solutions architecture, solutions engineering, technical consulting, professional services, data engineering, or a related technical role
Experience in influencing technical strategy and architecture across complex customer use cases or multiple workstreams
Strong coding proficiency in Python, SQL, Scala, or similar languages, with 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, and 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
Strong 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

Nice to Have

Databricks experience or certification
Developing expertise in a technical specialization such as AI/ML, data engineering, streaming, data warehousing, governance, or migrations
Experience with AWS, Azure, or GCP and production cloud deployments
Experience creating reusable technical frameworks, demos, or enablement that scale across teams

Travel: Up to 30% as needed

About Databricks

Benefits

Standard company text repeated across Databricks's postings is omitted here.

Delivery Solutions Architect

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