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Delivery Solutions Architect - Financial Services

Databricks· Field Engineering
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Hybrid (Multiple U.S. locations)$180k - $247.5kFull-timePosted 3w ago

About the role

Delivery Solutions Architect (DSA) at Databricks focused on post-sale technical leadership and commercial engagement to drive adoption, success, and value realization of the Databricks platform within strategic Financial Services customers. Hybrid technical and commercial role collaborating with sales, field engineering, and professional services to accelerate production usage and quantify business outcomes.

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, escalating to expert level technical experts as needed
  • Create, own and execute a point-of-view on accelerating key use cases into production, coordinating with Professional Services on delivery of PS Engagement proposals
  • Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs
  • Develop an execution plan covering all activities of all customer-facing technical roles and teams across work streams (win-to-production, enablement, product adoption, cost optimization, 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

  • 7+ 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 for distributed data systems
  • Ability to attribute business value and outcomes to project deliverables
  • Technical program or project management including account, stakeholder and resource management
  • Experience resolving escalations with senior customer executives
  • Experience conducting discovery workshops, strategic roadmaps, business analysis and delivery of complex programmes/projects
  • Track record of overachievement against quota/goals
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience
  • Ability to travel up to 30% when needed

Skills

Required:Technical leadershipSolution architecturePre-sales / customer-facing communicationProgram/project managementSQL
Nice to have:PythonScala

Benefits

  • Comprehensive benefits package (region-specific)
  • Equity and annual performance bonus eligibility (where applicable)
  • Pay transparency with local pay range information available
  • Diversity and inclusion commitments
  • Privacy and compliance resources described in policy documentation
Last updated Oct 1, 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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