About the Role
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. As a Delivery Solutions Architect (DSA), you will play an important role during this journey.
Responsibilities
•Engage with Solutions Architects to understand the full use case demand plan for prioritised customers
•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 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 the workloads where the customer has made the decision to consume 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, oftentimes servicing 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 experts to build the right tasks that are beyond your scope of activities or expertise
•Create, own 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 innovations, private previews and upgrade needs
•Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below 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 - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM
Requirements
•7+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can 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 related distributed data systems
•Understanding of how to attribute business value and outcomes to specific project deliverables
•Technical program, or project management including account, stakeholder and resource management accountability
•Experience resolving complex and important escalation with senior customer executives
•Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/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
•Can travel up to 30% when needed
Compensation
Local Pay Range $180,000—$247,500 USD. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and additional benefits. At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.
