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Delivery Solutions Architect - Startups & Emerging Enterprise
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ICT
💰 Salary Not shared
📊 Market NA
About the Company
At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the Databricks Data Intelligence Platform.
Role & Responsibilities
- ● Collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform with Startup and Emerging Enterprise customers.
- ● Help ensure customer success by helping our most complex customers maximize the value they get out of our platform and their return on investment.
- ● Drive growth in your assigned customers and use cases by leading your customers' stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon.
- ● Serve as the post-sale technical lead across all Databricks products.
- ● Engage with Solutions Architects to understand the full use case demand plan for prioritized customers.
- ● Lead the post-technical-win account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts.
- ● Be the accountable technical leader for specific use cases and customers across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, go-live, and healthy consumption of the workloads the customer has chosen to run on Databricks.
- ● Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, often spanning multiple use cases within the largest and most complex organizations.
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- ● Leverage Shared Services, User Education, Onboarding/Technical Services, and Support resources, and escalate to subject matter experts when work falls beyond your scope or expertise.
- ● Create, own, and execute a point of view on how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals.
- ● Partner with Databricks Product and Engineering teams on new product innovations, private previews, and upgrades.
- ● Develop an execution plan spanning all customer-facing technical roles and teams across the following work streams: Main use cases moving from 'win' to production, Enablement / user growth plan, Product adoption (strategy and activities to increase adoption of Databricks' Lakehouse vision), Organic needs for current investment (e.g. cloud cost control, tuning & optimization), Executive and operational governance.
- ● Provide internal and external updates to your Technical GM - KPI reporting on usage and customer health, covering investment status, key risks, product adoption, and use case progression.
Requirements
- ● 5+ years of experience accountable for technical project / program delivery in Data and AI, with the ability to contribute to technical debate and design choices alongside customers.
- ● Programming experience in Python, SQL or Scala.
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