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Delivery Solutions Architect

Databricks
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Hybrid (Paris)Posted 4mo ago

About the role

Delivery Solutions Architect (DSA) at Databricks blending technical leadership with commercial accountability to accelerate adoption and growth of the Databricks platform in assigned customers. Hybrid technical and commercial role leading post-sale technical strategy, engagement, and delivery across multiple use cases and stakeholders.

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 how key use cases can be accelerated into production, coordinating with Professional Services (PS) for delivery proposals
  • Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs
  • Develop an execution plan covering activities of all customer-facing technical roles and teams across work streams: main use cases from win to production, enablement/user growth, product adoption, organic needs (cost control, tuning), governance
  • Provide internal and external updates - KPI reporting on usage and customer health, investment status, risks, product adoption and use case progression to Technical GM

Qualifications

  • 5+ years of experience accountable for technical project / program delivery within Data and AI
  • Programming experience in Python, Spark and Databricks (or similar data platform)
  • Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role
  • Understanding of solution architecture related distributed data systems
  • Understanding of how to attribute business value and outcomes to project deliverables
  • Technical program or project management including account, stakeholder and resource management accountability
  • Experience resolving complex escalations with senior customer executives
  • Experience conducting open-ended discovery workshops, creating strategic roadmaps, business analysis, and managing delivery of complex programmes/projects
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience
  • Ability to travel up to 30% when needed

Skills

Required:Post-sale technical leadershipSolution architecturePythonSparkDatabricks platform
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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