Delivery Solutions Architect - Startups & Emerging Enterprise
Databricks · Remote - California; Remote - Colorado; Remote - Illinois; Remote - Massachusetts; Remote - New York; Remote - Oregon; Remote - Texas; Remote - Washington · Delivery Solutions Architects · listed July 15, 2026
The shape of it
Seniority
Principal
Experience asked
5+ years
Where
Hybrid
Stated pay
$180,000 – $247,500 USD
Requirements listed
11
Length
979 words
In the posting’s own words
At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform with Startup and Emerging Enterprise customers. You will also help ensure customer success by helping our most complex customers maximize the value they get out of our platform and their return on investment.
What it asks for · 11
- 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
What the job covers
- 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)
Degree language
- Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent practical experience
Tools and skills named
Data
- Databricks10×
- Data warehouse
Go to market
- Customer success2×
- Quota
- Solutions architecture
Languages
- Python
- Scala
- SQL
Operations & finance
- Project management
Words the posting leans on
- customers13×
- technical12×
- cases9×
- experience6×
- plan5×
- product5×
- account4×
- adoption4×
- complex4×
- data4×
- delivery4×
- engineering4×
- creating3×
- executive3×
- growth3×
- investment3×
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