Delivery Solutions Architect - Digital Native Business
Northeast - United States · Southeast - United States · West Coast - United States · California · USD 180,000-247,500 / year · 5+ years experience · Remote · Posted Oct 12, 2026
At a glance
- Experience
- 5+ years experience
- Workplace
- Remote
- Location
- Northeast - United States · Southeast - United States · West Coast - United States · California
- Salary
- USD 180,000-247,500 / year · OTE
About Databricks
- Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
About the role
- As a Delivery Solutions Architect (DSA) at Databricks, 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.
Responsibilities
- 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
Requirements
- 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
Preferred qualifications
- 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
Benefits
- Eligibility for annual performance bonus
- Equity
- Comprehensive benefits and perks
Workplace
- Travel: Up to 30% as needed
Skills
- Python
- SQL
- Scala
- AWS
- Azure
- GCP
