Delivery Solutions Architect - Digital Native Business

Databricks Inc.

Northern (KY)

Hybrid

USD 180,000 - 248,000

Full time

46 hours ago
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Job summary

Databricks Inc. in the United States seeks a Delivery Solutions Architect to partner with Sales and Field Engineering to accelerate adoption of the Databricks platform.

You will design secure, scalable data and AI solutions and guide customers from architectural win to production. You will lead architecture discussions, influence technical decisions, and mentor teams while balancing performance, cost, and governance.

Qualifications

  • 5+ years in solutions architecture or related technical role.
  • Experience influencing technical strategy and architecture across complex use cases.
  • Strong coding proficiency in Python, SQL, Scala or similar languages.
  • Deep understanding of distributed data systems, data engineering, analytics, AI/ML, and modern cloud architectures.
  • Bachelor's degree in CS, Engineering, or equivalent experience.

Responsibilities

  • Define and influence technical execution strategies across complex use cases and multi-workstream accounts.
  • Serve as a trusted technical advisor during architecture discussions with customer leads.
  • Design secure, governed, scalable Databricks architectures balancing performance, cost, and reliability.
  • Build and demonstrate working solutions, prototypes, and reusable technical assets.
  • Mentor peers and contribute reusable guidance across the org.

Skills

Python
SQL
Scala
architecture strategy
stakeholder management
data engineering
cloud architectures

Education

Bachelor's degree in Computer Science or equivalent

Tools

AWS
Azure
GCP

Job description

Delivery Solutions Architect - Digital Native Business

United States

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

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

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 .

BenefitsAt 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.

Voluntary Self-Identification

For government reporting purposes, we ask candidates to respond to the below self-identification survey. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiringprocess or thereafter. Any information that you do provide will be recorded and maintained in aconfidential file.

As set forth in Databricks’s Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law.

If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection.As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measurethe effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categoriesis as follows:

A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability.

A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service.

An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.

An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.

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