What's the salary range?

Databricks lists $180,000–$247,500 for this role.

How much experience is required?

At least 5 years of relevant experience for this Delivery Solutions Architect - Digital Native Business 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.

Delivery Solutions Architect - Digital Native Business at Databricks

Joblaze summary

In the role of Delivery Solutions Architect at Databricks, the individual will engage with sales and engineering teams to enhance the adoption of the Databricks platform among Digital Native customers. Key skills include proficiency in Python, SQL, and a solid understanding of data systems and cloud architectures, as well as experience in technical consulting or solutions architecture. This position is ideal for someone with over five years of relevant experience who can navigate complex technical discussions and drive customer outcomes. The role emphasizes collaboration across teams to ensure successful implementation and scaling of data solutions.

Joblaze insights

Listed today — first seen on Joblaze October 13, 2026. Last confirmed on Databricks's careers page October 13, 2026.
This exact title is also open at 2 other locations at Databricks: United States, Remote - California; Remote - Oregon; Remote - Washington.
Salary band is in line with the typical range for Data Engineering roles (median ~$180,656).
Starts above 30% of 140 comparable senior data engineering roles in United States that list Python we track (median $180,656 across 39 companies). See Python salary trends
Python appears in 78.6% of 220 comparable senior data engineering roles in United States; Cloud appears in 0.5% of 220 comparable senior data engineering roles in United States.

Quick facts

What's the salary range?: Databricks lists $180,000–$247,500 for this role.
How much experience is required?: At least 5 years of relevant experience for this Delivery Solutions Architect - Digital Native Business 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 - Digital Native Business role at Databricks.

From the original posting

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 within Digital Native customers. 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

Interview Process: Recruiter Screen → Hiring Manager Screen → Design & Architecture → Live Coding → Build, Demo & Pitch → Reference Check

Travel: Up to 30% as needed

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Local Pay Range

$180,000—$247,500 USD

About Databricks

Benefits

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

Delivery Solutions Architect - Digital Native Business

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