Delivery Solutions Architect - Oil & Gas

The role

You will collaborate with sales and field engineering teams to accelerate Databricks platform adoption and growth. You will act as a post-sale technical lead to ensure customer success and maximize value from Databricks workloads.

What you will do

• Engage with Solutions Architects to understand use case demand plans.
• Lead post-technical win technical account strategy and execution.
• Drive onboarding, enablement, success, and healthy consumption of workloads.
• Act as the first contact for technical issues related to production status.
• Leverage Shared Services, User Education, and Support resources.
• Execute plans to accelerate use cases into production.
• Navigate Product and Engineering teams for innovations and upgrades.
• Develop execution plans for use case production, enablement, and product adoption.
• Provide internal and external KPI reporting on usage and customer health.

Required qualifications

• 5+ years of experience in technical project/program delivery within Data and AI.
• Programming experience in Python, SQL, or Scala.
• Experience in customer-facing pre-sales, technical architecture, customer success, or consulting.
• Understanding of solution architecture related to distributed data systems.
• Understanding of how to attribute business value and outcomes to project deliverables.
• Technical program or project management experience.
• Experience resolving complex escalations with senior customer executives.
• Experience conducting discovery workshops, creating roadmaps, and business analysis.
• Track record of overachievement against quota, goals, or objective targets.
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience.
• Ability to travel up to 30% when needed.

About the company

Databricks is the Data and AI company. More than 20,000 organizations worldwide rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents.