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Delivery Solutions Architect - Healthcare & Life Sciences

Job in Trenton, Mercer County, New Jersey, 08628, USA
Listing for: Databricks
Full Time position
Listed on 2025-12-01
Job specializations:
  • IT/Tech
    Cloud Computing, Data Engineer, Data Science Manager, Data Analyst
Job Description & How to Apply Below

Delivery Solutions Architect - Healthcare & Life Sciences

Join to apply for the Delivery Solutions Architect - Healthcare & Life Sciences role at Databricks.

At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, thereby maximizing the value they get from our platform and the return on investment.

This is a hybrid technical and commercial role. Commercially, you will drive growth in your assigned customers and use cases through leading stakeholders, building executive relationships, orchestrating specialized internal teams within Databricks, and creating and executing plans and strategies for Databricks colleagues to build upon. Technically, you are expected to become the post‑sale technical lead across all Databricks products and engage and communicate at all levels within an organization.

You will report directly to a DSA manager within the Field Engineering organization.

Impact You Will Have
  • Engage with Solutions Architects to understand the full use case demand plan for prioritized customers
  • Lead the post‑technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
  • Serve as the accountable technical leader assigned to specific use cases and customers across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go‑live and healthy consumption of workloads the customer has chosen to use Databricks for
  • Act as the first contact for any technical issues or questions related to production/go‑live status of agreed‑upon use cases within an account, often servicing multiple use cases within the largest and most complex organizations
  • Leverage Shared Services, User Education, Onboarding/Technical Services, Support resources, and escalating to expert level technical experts to build the right tasks beyond your scope or expertise
  • Create, own and execute a point‑of‑view on how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS engagement proposals
  • Navigate Databricks Product and Engineering teams for new product innovations, private previews and upgrade needs
  • Develop an execution plan that covers all activities of all customer‑facing technical roles and teams to cover the following work streams:
    • Main use cases moving from ‘win’ to production
    • Enablement / user growth plan
    • Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)
    • Organic needs for current investment (e.g., cloud cost control, tuning & optimization)
    • Executive and operational governance
  • Provide internal and external updates – KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression – to your Technical GM
What We Look For
  • 5+ years of experience accountable for technical project/program delivery within Data and AI, where you contribute to technical debate and design choices with customers
  • 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 specific 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, conducting business analysis and managing delivery of complex…
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