Delivery Solutions Architect - Communications, Media, Entertainment & Games
Leads post-sale technical delivery and adoption for complex Databricks customers, coordinating use cases, stakeholders, services, and escalations from technical win through production. Requires 5+ years in Data and AI program delivery, customer-facing architecture or consulting experience, programming skills, and distributed-systems knowledge.
About the job
Responsibilities
- Collaborate with sales and field engineering teams to accelerate customer adoption and growth of the Databricks Platform.
- Lead post-technical-win account strategies and execution plans across prioritized use cases and strategic accounts.
- Own technical delivery for customer use cases, driving onboarding, enablement, success, go-live, and healthy workload consumption.
- Serve as the first contact for production and go-live technical issues, coordinating multiple use cases and stakeholders.
- Leverage shared services, education, onboarding, technical services, support, and expert resources to resolve issues beyond your scope.
- Create and execute plans to accelerate use cases into production, coordinating with Professional Services on engagement proposals.
- Navigate Product and Engineering teams for innovations, private previews, and upgrades.
- Develop execution plans covering production use cases, enablement, product adoption, investment optimization, and executive governance.
- Provide internal and external KPI updates on usage, customer health, investment status, risks, adoption, and use-case progression.
Requirements
- 5+ years of experience accountable for technical project or program delivery in Data and AI.
- Programming experience with Python, SQL, or Scala.
- Experience in customer-facing pre-sales, technical architecture, customer success, or consulting.
- Understanding of solution architecture for distributed data systems.
- Ability to connect business value and outcomes to project deliverables.
- Experience with technical program or project management, including account, stakeholder, and resource management.
- Experience resolving complex escalations with senior customer executives.
- Experience conducting discovery workshops, creating strategic roadmaps, business analysis, and managing complex programs or projects.
- Track record of overachievement against quota, goals, or comparable targets.
- Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent work experience.
- Ability to travel up to 30% when needed.
Compensation
- Local pay range: $180,000–$247,500 USD.
- Total compensation may also include an annual performance bonus, equity, and benefits.
Skills
Python, SQL, Scala, Solutions Architecture, Distributed Data Systems, Technical Program Management, Project Management, Stakeholder Management, Resource Management, Business Analysis, Strategic Roadmaps, Discovery Workshops, Databricks Platform, Data Intelligence Platform, Lakehouse
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