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Delivery Solutions Architect - Digital Native Business

Databricks· Delivery Solutions Architecture / Field Engineering
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Remote$180k - $247.5kFull-timePosted 5mo ago

About the role

Delivery Solutions Architect (DSA) to drive post-sale technical leadership and commercial engagement for Databricks customers. Hybrid technical and commercial role focusing on onboarding, enablement, adoption, and governance of Databricks workloads across strategic accounts.

Responsibilities

  • Engage with Solutions Architects to understand the full use case demand plan for prioritised customers
  • Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
  • Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks
  • Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations
  • Leverage Shared Services, User Education, Onboarding/Technical Services and Support resources, and escalate to expert level technical experts to build the right tasks beyond your scope
  • Create, own and execute a point-of-view on accelerating key use cases into production, coordinating with PS engagements
  • Navigate Product and Engineering for new product innovations, previews and upgrade needs
  • Develop an execution plan covering all activities of all customer-facing technical roles and teams across work streams (production adoption, enablement, product adoption, cost optimization, governance)
  • Provide internal and external updates and KPI reporting on usage, customer health, risks, product adoption and use case progression to Technical GM

Qualifications

  • 5+ years of experience delivering technical projects/programs in Data and AI
  • Programming experience in Python, SQL or Scala
  • Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role
  • Understanding of solution architecture related distributed data systems
  • Ability to attribute business value and outcomes to project deliverables
  • Technical program/project management including account, stakeholder and resource management
  • Experience resolving complex escalations with senior customer executives
  • Experience conducting discovery workshops, strategic roadmaps, business analysis and delivery of complex programs/projects
  • Track record of overachievement against quota or similar targets
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience
  • Ability to travel up to 30%

Skills

Required:Technical leadershipPythonSQL
Nice to have:Scala

Benefits

  • Comprehensive benefits package detailed in regional documents (link provided in job description)
Last updated Sep 10, 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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