Databricks26.03.2026
Delivery Solutions Architect
Brisbane
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 accelerate usage of selected Databricks workloads and maximize ROI.
- 03Drive growth in assigned customers and use cases by leading customer stakeholders, building executive relationships, orchestrating specialized Databricks teams, and creating plans and strategies for colleagues.
- 04Act as the post‑sale technical lead across all Databricks products, using technical credibility to engage and communicate at all organizational levels.
- 05Report directly to a DSA Manager within the Field Engineering organization.
- 06Engage with Solutions Architects to understand the full use‑case demand plan for prioritized customers.
- 07Lead the post‑technical win technical account strategy and execution plan for the majority of Databricks use cases in strategic accounts.
- 08Serve 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.
- 09Be the first point of contact for technical issues or questions regarding production/go‑live status of agreed‑upon use cases, often handling multiple use cases in large, complex organizations.
- 10Leverage Shared Services, User Education, Onboarding/Technical Services and Support resources, and escalate to expert‑level technical experts when needed.
- 11Create, own and execute a point‑of‑view on accelerating key use cases into production, coordinating with Professional Services on delivery of PS engagement proposals.
- 12Navigate Databricks Product and Engineering teams for new product innovations, private previews and upgrade requirements.
- 13Develop an execution plan covering all customer‑facing technical roles and teams for 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.
- 14Provide 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, able to contribute 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 for 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 programmes/projects.
- 09Track record of overachievement against quota, goals or similar objective targets.
- 10Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent work experience.
- 11Willingness to travel up to 30% when needed.
Условия
- 01Hybrid technical and commercial role.
- 02Travel up to 30% when needed.
- 03Comprehensive benefits and perks.
- 04Headquartered in San Francisco with global offices.
- 05Commitment to diversity and inclusion.
- 06Opportunity to work with Fortune 500 customers and leading brands.