Description
As a Delivery Solutions Architect at Databricks, you will play a crucial role in empowering customers to solve their toughest data problems using the Databricks Data Intelligence Platform. You will collaborate with sales and field engineering teams to accelerate the adoption and growth of the platform in your customers. Your primary responsibility will be to ensure customer success by increasing focus and technical accountability to complex customers who need guidance to accelerate usage on Databricks workloads. This is a hybrid technical and commercial role, requiring you to drive growth in your assigned customers and use cases through leadership, stakeholder engagement, and orchestration of specialized teams within Databricks.
Key responsibilities include:
- Engaging with Solutions Architects to understand the full use case demand plan for prioritized customers
- Leading the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within strategic accounts
- Being the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders
- Creating certainty from uncertainty and driving onboarding, enablement, success, go-live, and healthy consumption of workloads where the customer has decided to consume Databricks
- Being the first contact for any technical issues or questions related to production/go-live status of agreed-upon use cases within an account
- Leveraging Shared Services, User Education, Onboarding/Technical Services, and Support resources to build the right tasks beyond your scope of activities or expertise
- Creating, owning, and executing a point-of-view on how key use cases can be accelerated into production, coordinating with Professional Services resources on the delivery of PS Engagement proposals
- Navigating Databricks Product and Engineering teams for new product innovations, private previews, and upgrade needs
- Developing an execution plan covering all activities of customer-facing technical roles and teams to cover main use cases moving from 'win' to production, enablement/user growth plan, product adoption, organic needs for current investment, executive and operational governance, and KPI reporting on the status of usage and customer health
Requirements include:
- 5+ years of experience in technical project/program delivery within the domain of Data and AI, contributing 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 distributed data systems
- Understanding of how to attribute business value and outcomes to specific project deliverables
- Technical program/project management, 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/projects
- Track record of overachievement against quota, goals, or similar objective targets
- Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
Benefits include comprehensive benefits and perks that meet the needs of all employees, a commitment to diversity and inclusion, and compliance with equal employment opportunity standards.