Delivery Solutions Architect - Startups & Emerging Enterprise

Responsibilities

• Engage with Solutions Architects to understand the full use case demand plan for prioritized customers
• Lead the post-technical-win account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
• Be the accountable technical leader for specific use cases and customers across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, go-live, and healthy consumption of the workloads the customer has chosen to run on Databricks
• Be the first contact for any technical issues or questions related to production/go-live status of agreed upon use cases within an account, often spanning multiple use cases within the largest and most complex organizations
• Leverage Shared Services, User Education, Onboarding/Technical Services, and Support resources, and elevate to subject matter experts when work falls beyond your scope or expertise
• 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 the delivery of PS Engagement proposals
• Partner with Databricks Product and Engineering teams on new product innovations, private previews, and upgrades
• Develop an execution plan spanning all customer-facing technical roles and teams across the following work streams:
  • Main use cases moving from ‘win’ to production
  • Enablement / user growth plan
  • Product adoption (strategy 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 to your Technical GM — KPI reporting on usage and customer health, covering investment status, key risks, product adoption, and use case progression

Requirements

• 5+ years of experience accountable for technical project / 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
• Understanding of how to attribute business value and outcomes to specific project deliverable
• Technical program or project management, including accountability for accounts, stakeholders, and resources
• Experience resolving complex, high-stakes 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
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent practical experience
• Can travel up to 30% when needed.

Core Competencies

Demonstrates expertise in technical project delivery within Data and AI, with a strong focus on customer engagement, solution architecture, and program management. Proven ability to drive product adoption and manage complex stakeholder relationships effectively.

Certifications & Qualifications

• Bachelor's Degree in Computer Science
• Bachelor's Degree in Information Systems
• Bachelor's Degree in Engineering

Industry Keywords

• Data Systems
• AI Solutions
• Technical Architecture
• Pre-Sales Engagement
• Product Adoption

Tools & Technologies

• Databricks
• Distributed Data Systems
• Cloud Cost Control
• User Education
• Onboarding Services

Soft Skills

• Customer Engagement
• Problem Resolution
• Strategic Roadmapping
• Communication Skills
• Collaboration