Delivery Solutions Architect - Digital Native Business
Key Skills for This Role
Full Job Posting
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
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 . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here .
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
About Databricks
Data and AI software company providing a unified platform.
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