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Databricks

Builds cloud software for data analysis and AI

Delivery Solutions Architect

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

About the Job

Requirements

  • At least 5 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 for distributed data systems.
  • Understanding of how to attribute business value and outcomes to specific project deliverables.
  • Technical program or project management experience, including accountability for account, stakeholder, and resource management.
  • Experience resolving complex, important escalations with senior customer executives.
  • Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis, and managing delivery of complex programmes or projects.
  • A track record of overachievement against quota, goals, or similar objective targets.
  • 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 most Databricks use cases within strategic accounts.
  • Serve as the accountable technical leader for specific customer use cases across selling teams and internal stakeholders, driving onboarding, enablement, success, go-live, and healthy consumption of selected workloads.
  • Act as the first contact for technical questions or issues related to production or go-live status of agreed use cases, often supporting multiple use cases within large, complex organizations.
  • Leverage Shared Services, User Education, Onboarding/Technical Services, and Support resources, escalating work beyond the role's scope or expertise to technical experts.
  • 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 upgrade needs.
  • Develop execution plans covering customer-facing technical roles and teams across use cases moving from win to production, enablement and user growth, product adoption, current-investment needs such as cloud cost control and tuning and optimization, and executive and operational governance.
  • Provide internal and external KPI updates to the Technical GM on usage and customer health, investment status, 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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