Delivery Solutions Architect: Data & AI Growth Lead

Databricks; United States; Hybrid; USD 180,000 - 248,000; Full time

Job summary

Databricks in the United States is seeking a Delivery Solutions Architect to drive post‑sales success for strategic customers, aligning technical leadership with business outcomes across Databricks workloads. This hybrid role blends technical delivery with commercial growth and customer governance.

You will partner with sales and field engineering to accelerate adoption, orchestrate teams, manage customer health metrics, and ensure value realization from the Lakehouse platform for complex use

Qualifications

• 5+ years delivering technical projects in Data/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 related to distributed data systems.
• Ability to travel up to 30% when needed.

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.
• Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go‑live, and healthy consumption of the workloads where the customer has made the decision to consume Databricks.
• Be the first contact for any technical issues or questions related to the production/go‑live status of agreed‑upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations.
• Leverage both Shared Services, User Education, Onboarding/Technical Services, and Support resources, along with escalating to expert‑level technical experts, to build the right tasks that are beyond your scope of activities or expertise.
• Create, own, and execute a point of view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals.
• Navigate Databricks Product and Engineering teams for new product Innovations, private previews, and upgrade needs.
• Develop an execution plan that covers all activities of all customer‑facing technical roles and teams to cover 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 - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM

Skills

Python

SQL

Scala

Customer-facing

Solution architecture

Data and AI

Education

Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent

Job description

Databricks in the United States is seeking a Delivery Solutions Architect to drive post‑sales success for strategic customers, aligning technical leadership with business outcomes across Databricks workloads. This hybrid role blends technical delivery with commercial growth and customer governance.

You will partner with sales and field engineering to accelerate adoption, orchestrate teams, manage customer health metrics, and ensure value realization from the Lakehouse platform for complex use