Delivery Solutions Architect
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Key skills for this role
About the Role
Databricks is hiring a Delivery Solutions Architect to drive post-sale technical account strategy and ensure customer success on the Databricks Data Intelligence Platform. You will lead technical execution for complex use cases, build executive relationships, and coordinate internal teams.
Key Skills for This Role
Responsibilities
- Engage with Solutions Architects to understand full use case demand plan for prioritized customers
- Lead post technical win technical account strategy and execution plan for Databricks use cases
- Be the accountable technical leader for specific use cases and customers across multiple selling teams
- Be the first contact for technical issues related to production/go live status of agreed use cases
- Leverage Shared Services, User Education, Onboarding/Technical Services and Support resources
- Create, own and execute a point of view on how key use cases can be accelerated into production
- Navigate Databricks Product and Engineering teams for new product innovations and upgrades
- Develop an execution plan covering all customer facing technical roles and teams
- Provide internal and external updates KPI reporting on usage and customer health
Requirements
- 5+ years of experience accountable for technical project/program delivery in 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 to project deliverables
- 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, and managing complex programmes
- Track record of overachievement against quota or similar targets
- Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience
- Can travel up to 30% when needed
Full Job Posting
Role Overview
- As a Delivery Solutions Architect (DSA), you will collaborate with sales and field engineering to accelerate adoption and growth of the Databricks platform.
- You will ensure customer success by increasing focus and technical accountability for complex customers.
- This is a hybrid technical and commercial role.
The Impact You Will Have
- Engage with Solutions Architects to understand full use case demand plan for prioritized customers.
- Lead post technical win technical account strategy and execution plan for the majority of Databricks use cases.
- Be the accountable technical leader assigned to specific use cases and customers.
- Be the first contact for any technical issues related to production/go live status.
- Leverage Shared Services, User Education, Onboarding/Technical Services and Support resources.
- Create, own and execute a point of view as to how key use cases can be accelerated into production.
- 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.
- Provide internal and external updates KPI reporting on usage and customer health.
What We Look For
- 5+ years of experience accountable for 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 distributed data systems.
- Understanding of how to attribute business value and outcomes to specific project deliverables.
- Technical program or project management including account, stakeholder and resource management accountability.
- Experience resolving complex and important escalation with senior customer executives.
- Experience conducting open ended discovery workshops, creating strategic roadmaps, and managing delivery of complex programmes/projects.
- Track record of overachievement against quota, Goals or similar objective targets.
- Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience.
- Can travel up to 30% when needed.
Pay Range Transparency
- Canada Pay Range: CAD 175,800—CAD 241,800 CAD.
- Total compensation may include annual performance bonus, equity, and benefits.
About Databricks
- Databricks is the data and AI company.
- More than 10,000 organizations worldwide rely on the Databricks Data Intelligence Platform.
- Headquartered in San Francisco with offices around the globe.
Benefits
- Comprehensive benefits and perks tailored to employee needs.
Our Commitment to Diversity and Inclusion
- We are committed to fostering a diverse and inclusive culture.
- Hiring practices are inclusive and meet equal employment opportunity standards.
Compliance
- If access to export controlled technology or source code is required, employer may apply for a U.S. government license.
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