[Remote] Delivery Solutions Architect - Communications, Media, Entertainment & Games
Note: The job is a remote job and is open to candidates in USA. Databricks is a leading data and AI company that empowers customers to tackle complex data challenges using its Data Intelligence Platform. The Delivery Solutions Architect will collaborate with sales and field engineering teams to enhance the adoption of Databricks, ensuring customer success and maximizing the value of the platform for clients. This hybrid role involves both technical leadership and commercial strategy to drive growth within assigned customer accounts.
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 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 the production/go-live status of agreed-upon use cases within an account, oftentimes services 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 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 - 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
Skills
- 5+ 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 to 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 in resolving complex and important escalations with senior customer executives
- Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis, and managing the 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
- Ability to travel up to 30% when needed
Benefits
- Eligibility for annual performance bonus
- Equity
- Comprehensive benefits and perks that meet the needs of all of our employees
Company Overview
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