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Databricks

Builds cloud software for data analysis and AI

Delivery Solutions Architect - Public Sector

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeRemote in USA

About the Job

Requirements

  • U.S. citizenship is required.
  • Have 7 or more years of experience being accountable for technical project or program delivery in Data and AI, contributing to technical debate and design choices with customers.
  • Have programming experience in Python, SQL, or Scala.
  • Have experience in customer-facing pre-sales, technical architecture, customer success, or consulting.
  • Understand solution architecture related to distributed data systems.
  • Understand how to attribute business value and outcomes to specific project deliverables.
  • Have technical program or project management experience, including accountability for account, stakeholder, and resource management.
  • Have experience resolving complex and important escalations with senior customer executives.
  • Have experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis, and managing delivery of complex programs or projects.
  • Have a track record of overachievement against quota, goals, or similar objective targets.
  • Have a bachelor's degree in Computer Science, Information Systems, or Engineering, or equivalent experience through work experience.
  • Be able 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 in the most strategic accounts.
  • Serve as the accountable technical leader for specific use cases and customers across selling teams and internal stakeholders, driving onboarding, enablement, success, go-live, and healthy consumption of workloads the customer has chosen to use.
  • Serve as the first contact for technical issues or questions about production or go-live status of agreed-upon use cases, often supporting multiple use cases in the largest and most complex organizations.
  • Leverage Shared Services, User Education, Onboarding and Technical Services, and Support resources, escalating to technical experts to build tasks 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 upgrade needs.
  • Develop an execution plan covering customer-facing technical roles and teams across use cases moving from win to production, enablement and user growth, product adoption, cloud cost control 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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