Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Databricks

Delivery Solutions Architect – Digital Native Business

Databricks

. Partner with Sales, Solutions Architecture, and Field Engineering to accelerate adoption and growth of the Databricks platform .

Posted 11/2/2026full-timeRemote • California • United StatesMid-LevelSenior💰 $180,000 - $247,500 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing secure, scalable Databricks architectures and driving customer adoption through technical leadership. Proficient in influencing technical strategies across complex use cases while ensuring operational excellence in data solutions.

Highest-signal resume keywords
Solutions ArchitectureTechnical ConsultingPython Coding ProficiencyData EngineeringStakeholder Management

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
SQLScalaDistributed Data SystemsData WarehousingAI/MLCloud ArchitecturesTechnical Strategy InfluenceArchitecture DesignOperational ExcellenceProblem Solving
Soft Skills
Cross-Functional LeadershipMentoringCommunicationCollaborationStakeholder Alignment
Tools & Technologies
DatabricksAWSAzureGCPCloud Deployments
Certifications & Qualifications
Databricks Certification
Industry Keywords
Data SolutionsGovernanceSecurityPerformance OptimizationTechnical Execution

Tech Stack

Tools & technologies
AWSAzureCloudGoogle Cloud PlatformPythonScalaSQL

About the role

Key responsibilities & impact
  • Partner with Sales, Solutions Architecture, and Field Engineering to accelerate adoption and growth of the Databricks platform
  • Serve as a trusted technical advisor to customers, helping design, implement, scale, and optimize data and AI solutions
  • Define and influence technical execution strategies across complex use cases and multiple workstreams
  • Lead architecture discussions and guide technical decisions with customer technical leads and architects
  • 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
  • Establish best practices for security, governance, and operational excellence
  • Drive adoption and consumption by connecting technical execution to business outcomes
  • Partner with 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

What you’ll need
  • 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
  • Strong coding proficiency in Python, SQL, Scala, or similar languages
  • 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
  • Databricks experience or certification (nice to have)
  • Developing expertise in AI/ML, data engineering, streaming, data warehousing, governance, or migrations (nice to have)
  • Experience with AWS, Azure, or GCP and production cloud deployments (nice to have)
  • Experience creating reusable technical frameworks, demos, or enablement (nice to have)

Benefits

Comp & perks
  • Eligibility for annual performance bonus
  • Equity
  • Comprehensive benefits and perks (specific regional offerings linked in posting)
  • Up to 30% travel as needed