Delivery Solutions Architect - Oil & Gas
About the role
As a Delivery Solutions Architect (DSA) at Databricks, you will collaborate with sales and field engineering teams to accelerate customer adoption and growth of the Databricks Data Intelligence Platform. You will ensure customer success by providing technical accountability for complex customers, guiding them to maximize value and return on investment from the platform. This hybrid technical and commercial role involves driving growth through stakeholder leadership, executive relationship building, and strategic planning, while serving as the post-sale technical lead across Databricks products. You will report directly to a DSA Manager within the Field Engineering organization.
Impact You Will Have
- Engage with Solutions Architects to understand full use case demand plans for prioritized customers
- Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within strategic accounts
- Serve as the accountable technical leader for specific use cases and customers across multiple selling teams and internal stakeholders, driving onboarding, enablement, success, go-live, and healthy consumption of workloads
- Act as the first contact for technical issues or questions related to production/go-live status of agreed-upon use cases, often managing multiple use cases within large, complex organizations
- Leverage Shared Services, User Education, Onboarding/Technical Services, and Support resources, escalating to expert-level technical experts as needed
- Create, own, and execute a point of view on accelerating key use cases into production, coordinating with Professional Services on delivery proposals
- Navigate Databricks Product and Engineering teams for new product innovations, private previews, and upgrade needs
- Develop execution plans covering all activities of customer-facing technical roles and teams, including:
- Main use cases moving from ‘win’ to production
- Enablement and user growth plans
- Product adoption strategies 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, including KPI reporting on usage and customer health, covering investment status, risks, product adoption, and use case progression
What We Look For
- 5+ years of experience accountable for technical project/program delivery within Data and AI, contributing to technical debate and design choices with customers
- Programming experience in Python, SQL, or Scala
- Customer-facing experience in pre-sales, technical architecture, customer success, or consulting
- Understanding of solution architecture related to distributed data systems
- Ability to attribute business value and outcomes to specific project deliverables
- Technical program or project management experience, including account, stakeholder, and resource management accountability
- Experience resolving complex and important escalations with senior customer executives
- Experience conducting discovery workshops, creating strategic roadmaps, conducting business analysis, and managing 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 work experience
- Ability to travel up to 30% when needed
Pay
Local Pay Range: $180,000—$247,500 USD
Total compensation may include eligibility for annual performance bonus, equity, and benefits. Actual compensation packages are based on job-related skills, experience, certifications, training, and work location.
About Databricks
Databricks is the Data and AI company, empowering over 20,000 organizations worldwide—including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500—to build and scale data and AI apps, analytics, and agents. Headquartered in San Francisco with 30+ offices globally, Databricks offers a unified platform featuring Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog.