# Delivery Solutions Architect

**Company:** [Databricks](https://hotfix.jobs/companies/databricks)
**Location:** Remote
**Role:** Solutions Architecture
**Salary:** $180k – $248k/yr
**Experience:** 5+ years
**Skills:** Python, SQL, Scala, Data And Ai, Distributed Data Systems, Technical Program Management, Solutions Architecture, Customer Success, Consulting, Project Delivery
**Posted:** 2026-07-15

> Delivery Solutions Architect leading post-sale technical strategy, adoption, and success for Databricks Data Intelligence Platform with Startup and Emerging Enterprise customers. Requires 5+ years in data/AI project delivery, programming skills, customer-facing technical experience, and ability to drive business outcomes.

## Job Description

## Impact You Will Have
- 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 escalate 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, with the ability to contribute to technical debate and design choices alongside customers
- 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

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