Delivery Solutions Architect - Oil & Gas
Leads post-sale technical strategy, delivery, and adoption of Databricks workloads for complex strategic customers. The role requires 5+ years in Data and AI program delivery, programming experience, distributed-systems architecture knowledge, executive stakeholder management, and customer-facing technical or consulting experience.
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 for Databricks use cases in strategic accounts.
- Serve as the accountable technical leader across customer use cases, driving onboarding, enablement, success, go-live, and healthy workload consumption.
- Act as the first contact for technical issues and questions related to production and go-live status.
- Coordinate Shared Services, User Education, Onboarding/Technical Services, Support, expert technical teams, and Professional Services resources.
- Create and execute plans to accelerate use cases into production.
- Navigate Product and Engineering teams for product innovations, private previews, and upgrades.
- Develop execution plans covering production use cases, enablement and user growth, product adoption, cloud cost control, tuning and optimization, and executive and operational governance.
- Provide internal and external KPI updates on usage, customer health, investment status, risks, product adoption, and use-case progression.
Requirements
- 5+ years of experience accountable for technical project or program delivery in Data and AI.
- 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 for distributed data systems.
- Ability to attribute 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, performing business analysis, and managing complex programs or projects.
- Track record of overachievement against quota, goals, or similar 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.
- Compensation may include an annual performance bonus, equity, and benefits.
Skills
Python, SQL, Scala, Solutions Architecture, Distributed Data Systems, Technical Program Management, Project Management, Business Analysis, Strategic Roadmaps, Data And Ai, Databricks, Cloud Cost Optimization
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