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Databricks

Builds cloud software for data analysis and AI

Senior Delivery Solutions Architect - Greater China Region

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeSingaporeNo salary listed

About the Job

Requirements

  • At least 8 years of experience accountable for technical project or program delivery in Data and AI, with the ability to 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 related to distributed data systems.
  • Understanding of how to attribute business value and outcomes to specific project deliverables.
  • Technical program or project management experience, including account, stakeholder, and resource management accountability.
  • Experience resolving complex and important escalations with senior customer executives.
  • Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis, and managing delivery of complex programs or projects.
  • A track record of overachievement against quota, goals, or similar objective targets.
  • Proficiency in Mandarin and experience in the Greater China Region are required to enable effective collaboration and understanding of client needs; the successful candidate will engage with Greater China Region customers in Mandarin for technical sales discussions, address technical challenges, and articulate clear technical solutions and value propositions.
  • A bachelor's degree in Computer Science, Information Systems, or Engineering, or equivalent experience through work experience.
  • Ability to travel up to 30% when needed.

Responsibilities

  • 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 strategic accounts.
  • Serve 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 of workloads selected by the customer.
  • Serve as the first contact for technical issues or questions related to production or go-live status of agreed use cases within an account, often across multiple use cases in large and complex organizations.
  • Leverage Shared Services, User Education, Onboarding/Technical Services, and Support resources, and escalate to expert technical teams when work is beyond the role's scope or expertise.
  • Create, own, and execute a point of view on accelerating key use cases into production, coordinating with Professional Services resources on delivery proposals.
  • Navigate Databricks Product and Engineering teams for new product innovations, private previews, and upgrades.
  • Develop an execution plan covering customer-facing technical roles and teams across use cases progressing from win to production; enablement and user growth; product adoption; optimization of current investment, including cloud cost control and tuning; and executive and operational governance.
  • Provide internal and external KPI updates to the Technical GM on usage and customer health, investment status, important risks, product adoption, and use-case progression.

About the Company

Databricks

Builds cloud software for data analysis and AI

Databricks builds cloud software that businesses use to organize data, analyze it, and develop AI applications. Its lakehouse architecture brings the flexible storage of a data lake together with the querying and management tools of a data warehouse. Data engineers prepare and update datasets, analysts build reports, and developers train models or create applications in a shared workspace with controls over who can use the data. The platform runs on Amazon, Microsoft, and Google clouds, and customers pay for computing usage or commit to longer contracts for discounted rates. Databricks was founded in 2013 and is headquartered in San Francisco, California.

Company size
10,001+
Company stage
Late Stage VC
Total funding
$32.1B
Headquarters
San Francisco, CA
Founded
2013

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