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Databricks

Delivery Solutions Architect

Databricks

. Collaborate with sales and field engineering teams to accelerate Databricks platform adoption and growth .

Posted 10/6/2026full-timeRemote • 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 technical project delivery within Data and AI, with a strong focus on customer success and solution architecture. Proven ability to lead complex programs, manage stakeholder relationships, and drive product adoption and value realization.

Highest-signal resume keywords
Technical Project ManagementPython ProgrammingSQL ProgrammingCustomer Success ManagementSolution Architecture

ATS Keywords

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Applicant Tracking System Keywords

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

Hard Skills
Technical Project DeliveryData and AI ExperienceProgramming in PythonProgramming in SQLProgramming in ScalaSolution ArchitectureBusiness AnalysisKPI ReportingStakeholder ManagementComplex Escalation Resolution
Soft Skills
CollaborationLeadershipCommunicationProblem-SolvingCustomer Engagement
Tools & Technologies
Databricks PlatformProfessional Services ProposalsUser EducationOnboarding ServicesTechnical Services
Certifications & Qualifications
Bachelor's Degree in Computer ScienceBachelor's Degree in Information SystemsBachelor's Degree in Engineering
Industry Keywords
Data SystemsCloud Cost ControlWorkload ConsumptionGovernanceTechnical Account Strategy

Tech Stack

Tools & technologies
CloudPythonScalaSQL

About the role

Key responsibilities & impact
  • Collaborate with sales and field engineering teams to accelerate Databricks platform adoption and growth
  • Increase technical accountability and guide complex customers toward greater workload usage, platform value, and return on investment
  • Drive growth in assigned customers and use cases through stakeholder leadership, executive relationships, and orchestration of specialized Databricks teams
  • Serve as post-sale technical lead across Databricks products
  • Engage Solutions Architects to understand use-case demand plans
  • Lead technical account strategy and execution for strategic accounts after the technical win
  • Own technical leadership for use cases and customers across selling teams and internal stakeholders
  • Drive onboarding, enablement, success, go-live, and healthy workload consumption
  • Serve as first contact for production and go-live technical issues or questions
  • Leverage Shared Services, User Education, Onboarding/Technical Services, Support, and expert technical resources
  • Create and execute plans to accelerate use cases into production and coordinate Professional Services proposals
  • Navigate Product and Engineering teams for product innovations, private previews, and upgrades
  • Develop execution plans covering production use cases, enablement, product adoption, cloud cost control, tuning and optimization, and governance
  • Provide KPI updates to the Technical GM on usage, customer health, investment status, risks, product adoption, and use-case progression
  • Report directly to a DSA Manager within Field Engineering

Requirements

What you’ll need
  • 5+ years of experience accountable for technical project/program delivery in Data and AI
  • Programming experience in Python, SQL or Scala
  • Experience in customer-facing pre-sales, technical architecture, customer success, or consulting
  • Understanding of solution architecture related to distributed data systems
  • Understanding of attributing business value and outcomes to project deliverables
  • Technical program or project management experience, including account, stakeholder, and resource management accountability
  • Experience resolving complex escalations with senior customer executives
  • Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis, and managing complex programs/projects
  • Track record of overachievement against quota, goals, or similar objective targets
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
  • Ability to travel up to 30% when needed

Benefits

Comp & perks
  • Annual performance bonus eligibility
  • Equity eligibility
  • Comprehensive benefits and perks (specific regional details provided via employer link)