Databricks: Delivery Solutions Architect - Digital Native Business — United States

About Databricks

Databricks develops a platform for data, analytics and AI. Its employer material describes bringing related capabilities together so organisations can build and scale applications, analytics and agents using their information. The advertised platform portfolio includes data-engineering, lakehouse, governance and AI-related products. Its business connects the infrastructure used to manage data with the tools used to derive insights or create applications, rather than treating those activities as entirely separate technology projects.

The position and its setting

Databricks lists Delivery Solutions Architect - Digital Native Business in United States, under reference 8736473002. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

• Department: Delivery Solutions Architects
• Employer listing date: 29 September 2026

Responsibilities and work described

• 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
• Building: 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

Essential requirements and candidate background

• 5+ years 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
• 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
• 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: platform operational excellence, including security, governance, performance, reliability, and cost optimization
• Drive customer adoption, consumption, and measurable business outcomes through technical leadership
• 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

Preferred experience and additional strengths

• Databricks experience or certification
• Developing expertise in a technical specialization such as AI/ML, data engineering, streaming, data warehousing, governance, or migrations
• Experience: 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

Location, schedule and contract conditions

For this overseas or regional listing, confirm work authorisation and any location restrictions with the employer. The location does not establish visa sponsorship or permission to work remotely from India.

• Advertised location: United States

Benefits mentioned by the employer

• 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

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Delivery Solutions Architect - Digital Native Business vacancy is not an offer for reference 8736473002; use the employer’s own pay disclosure and recruitment communication.

A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.

How to apply to Databricks

Applications follow the official employer page linked below.

Open the official Databricks posting below and match the title and reference 8736473002.

Compare your qualifications and experience with the essential conditions for the United States position, then read the preferred criteria separately.

Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.

Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.

Practical preparation: Python

Python work is easier to assess through a concrete example than a list of libraries. Explain the problem, the input data, the parts you implemented and how you checked the output. Include a repository or a short technical note when you can share it.

Relevant skills

• Python
• SQL
• AWS
• GCP
• Azure
• AI/ML
• Google Cloud
• Excel
• AI
• compliance