Databricks23.03.2026
Delivery Solutions Architect
Singapore
Обязанности
- 01Collaborate with sales and field engineering teams to accelerate adoption and growth of the Databricks platform in assigned customers.
- 02Help ensure customer success by increasing focus and technical accountability for complex customers to maximize value and ROI from selected Databricks workloads.
- 03Drive growth in assigned customers and use cases by leading stakeholders, building executive relationships, orchestrating specialized Databricks teams, and creating plans and strategies for colleagues.
- 04Serve as the post-sale technical lead across all Databricks products.
- 05Engage with Solutions Architects to understand the full use case demand plan for prioritized customers.
- 06Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases in strategic accounts.
- 07Act as the accountable technical leader for specific use cases and customers across multiple selling teams and internal stakeholders, driving onboarding, enablement, success, go-live, and healthy consumption.
- 08Serve as the first point of contact for technical issues or questions regarding production/go-live status of agreed use cases within an account.
- 09Leverage Shared Services, User Education, Onboarding/Technical Services, Support resources, and escalate to expert technical experts for tasks beyond scope.
- 10Create, own, and execute a point-of-view on accelerating key use cases into production, coordinating with Professional Services on engagement proposals.
- 11Navigate Databricks Product and Engineering teams for new product innovations, private previews, and upgrade needs.
- 12Develop execution plans covering work streams: moving use cases from win to production, enablement/user growth, product adoption (Lakehouse vision), organic investment needs (cloud cost control, tuning & optimization), and executive/operational governance.
- 13Provide internal and external KPI reporting on usage, customer health, investment status, risks, product adoption, and use case progression to the Technical GM.
Требования
- 015+ years of experience accountable for technical project/program delivery in Data and AI, contributing to technical debate and design choices with customers.
- 02Programming experience in Python, SQL, or Scala.
- 03Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role.
- 04Understanding of solution architecture related to distributed data systems.
- 05Understanding of how to attribute business value and outcomes to specific project deliverables.
- 06Technical program or project management experience including account, stakeholder, and resource management accountability.
- 07Experience resolving complex and important escalations with senior customer executives.
- 08Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis, and managing delivery of complex programs/projects.
- 09Track record of overachievement against quota, goals, or similar objective targets.
- 10Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience.
- 11Ability to travel up to 30% when needed.
Условия
- 01Hybrid technical and commercial role.
- 02Reports directly to a DSA Manager within the Field Engineering organization.
- 03Headquartered in San Francisco with offices around the globe.
- 04Comprehensive benefits and perks (details region-specific).
- 05Commitment to diversity and inclusion.
- 06Travel up to 30% when needed.
- 07Opportunity to work with Fortune 500 customers and leading organizations.