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Delivery Solutions Architect

Databricks· Engineering
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MunichFull-timePosted 4w ago

About the role

Technical and customer-facing role focused on architecture, technical strategy, and customer outcomes to design, implement, scale, and optimize data and AI solutions on the Databricks platform for strategic accounts.

Responsibilities

  • 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

Qualifications

  • 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
  • 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

Skills

Required:Solutions architecturePythonSQLCloud architecturesData security and governanceStakeholder management
Nice to have:Scala

Benefits

  • Comprehensive benefits and perks; region-specific details available via provided link
Last updated Sep 24, 2026. Interested? Apply on the company site.

About Databricks

Leading Data and AI Platform for Enterprises

Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data Intelligence Platform.

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