Delivery Solutions Architect - Healthcare & Life Sciences
Leads post-sale technical delivery, adoption, and production rollout of Databricks workloads for strategic Healthcare and Life Sciences customers. Requires 5+ years in Data and AI program delivery, customer-facing architecture or consulting experience, and proficiency in Python, SQL, or Scala.
About the job
Responsibilities
- Collaborate with sales and field engineering teams to accelerate customer adoption and growth of the Databricks platform.
- Lead post-technical-win account strategy and execution for Databricks use cases in strategic accounts.
- Serve as the accountable technical leader across multiple use cases, selling teams, and internal stakeholders, driving onboarding, enablement, success, go-live, and healthy workload consumption.
- Act as the first contact for technical issues and production or go-live questions for agreed-upon use cases.
- Coordinate Shared Services, User Education, Onboarding, Technical Services, Support, and expert technical resources.
- Create and execute plans to accelerate key use cases into production, coordinating with Professional Services on engagement proposals.
- Navigate Product and Engineering teams for product innovations, private previews, and upgrade needs.
- Develop execution plans covering production migration, enablement and user growth, product adoption, cloud cost control, tuning and optimization, and executive and operational governance.
- Provide internal and external KPI updates on usage, customer health, investment status, risks, product adoption, and use-case progression.
- Travel up to 30% when needed.
Requirements
- 5+ years of experience accountable for technical project or program delivery in Data and AI, with the ability to contribute to technical debates and design decisions with customers.
- Programming experience in Python, SQL, or Scala.
- Experience in customer-facing pre-sales, technical architecture, customer success, or consulting.
- Understanding of solution architecture for distributed data systems.
- Ability to attribute business value and outcomes to project deliverables.
- Experience with technical program or project management, including account, stakeholder, and resource management.
- Experience resolving complex escalations with senior customer executives.
- Experience conducting open-ended discovery workshops, creating strategic roadmaps, performing business analysis, and managing complex programs or projects.
- Track record of overachievement against quota, goals, or similar targets.
- Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent professional experience.
Compensation
- Base salary range: $180,000–$247,500 USD.
- Compensation may include an annual performance bonus, equity, and benefits.
Skills
Python, SQL, Scala, Solutions Architecture, Distributed Systems, Data Engineering, Artificial Intelligence, Technical Program Management, Project Management, Stakeholder Management, Business Analysis, Databricks
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