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Delivery Solutions Architect
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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 with the Databricks Data Intelligence Platform.
Responsibilities
- ● Provide expert guidance that translates data, analytics and AI challenges into high-impact business value.
- ● Help design, implement, and scale data and AI solutions, focusing on architecture, operational excellence, and customer enablement.
- ● Collaborate with sales and field engineering teams to accelerate the adoption and growth of the Databricks Platform in your customers.
- ● Be the post-sales technical lead and trusted advisor across all Databricks products for the customer's top priority use cases.
- ● Engage and communicate with technical/technical leadership stakeholders in our customer organizations.
- ● Perform architecture reviews.
- ● Help with performance and cost optimizations.
- ● Demonstrate new capabilities.
- ● Remove blockers.
- ● Drive growth in your assigned customers and use cases through leading your customers' stakeholders.
- ● Build executive relationships.
- ● Orchestrate other focused/specialized teams within Databricks.
- ● Create and drive onboarding plans.
- ● Be the Databricks Architect working with customer technical teams on use cases/data products, from development to go-live, addressing any technical challenges and blockers and providing guidance, best practices and enablement.
- ● Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts.
- ● Be the internal point of contact for any questions related to production/go live status of agreed upon use cases within an account, often for multiple use cases within the largest and most complex organizations.
- ● Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert-level technical teams to address the tasks that are beyond your scope of activities or expertise.
- ● Create and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals.
- ● Navigate Databricks Product and Engineering teams for new product requirements and feature requests.
Requirements
- ● Architectural skills in fields such as Data Architecture, Data Engineering, Data Warehousing or Data Science are essential.
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