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About the Role
As a Delivery Solutions Architect (DSA) at Databricks, you will play an important role in empowering customers to solve tough data problems using the Databricks Data Intelligence Platform. You will collaborate with sales and field engineering teams to accelerate platform adoption and growth, ensuring customer success by guiding them to maximize value and return on investment from Databricks workloads.
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.
- 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 Databricks workloads.
- Act as the first point of contact for technical issues or questions related to production/go-live status of agreed-upon use cases within an account.
- Leverage Shared Services, User Education, Onboarding/Technical Services, and Support resources, escalating to expert-level technical experts when necessary.
- Create, own, and execute a point-of-view on how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on delivery of PS Engagement proposals.
- Navigate Databricks Product and Engineering teams for new product innovations, private previews, and upgrade needs.
- Develop an execution plan covering all activities of customer-facing technical roles and teams for key work streams including main use cases moving from ‘win’ to production, enablement/user growth, product adoption, organic needs (e.g., cloud cost control, tuning & optimization), and executive/operational governance.
- Provide internal and external updates, including KPI reporting on usage and customer health, investment status, risks, product adoption, and use case progression to your Technical GM.
Requirements
- 7+ years of experience accountable for technical project/program delivery within Data and AI, with the ability to contribute to technical debate and design choices.
- 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 experience, including account, stakeholder, and resource management accountability.
- Experience resolving complex and important escalations with senior customer executives.
- Experience conducting open-ended 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.
- Ability to travel up to 30% when needed.
Skills
- Python
- SQL
- Scala
- Solution Architecture
- Distributed Data Systems
- Technical Program Management
- Project Management
- Account Management
- Stakeholder Management
- Resource Management
- Business Analysis
- Roadmap Creation
Location
- Remote
Work Type
- Hybrid
- Full-time
Experience Level
- 7+ years
Education Level
- Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience.
Salary/Compensations
- $180,000—$247,500 USD
Benefits
- Comprehensive benefits and perks
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.
- Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog.
Equal Opportunity
- Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.