Sr. Delivery Solutions Architect · Databricks

Sat, 18 Apr 2026 15:58:05 GMT
Engineering

Databricks · London, United Kingdom · hybrid

As a Senior Delivery Solutions Architect at Databricks, you will play a crucial role in empowering customers to solve the world's toughest data problems using the Databricks Data Intelligence Platform. You will collaborate with sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. Your primary goal will be to ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected.

This is a hybrid technical and commercial role, requiring you to drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, and creating and driving plans and strategies for Databricks colleagues to build upon. You will also be responsible for becoming the post-sale technical lead across all Databricks products, using your skills and technical credibility to engage and communicate at all levels with an organisation.

Your impact will be significant, as you will be engaged with Solutions Architects to understand the full use case demand plan for prioritised customers, lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts, and be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders.

Key responsibilities include:

Engaging with Solutions Architects to understand the full use case demand plan for prioritised customers

Leading the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts

Being the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders

Creating, owning, and executing 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

Navigating Databricks Product and Engineering teams for new product innovations, private previews, and upgrade needs

Developing an execution plan that covers all activities of all customer-facing technical roles and teams to cover main use cases moving from 'win' to production, enablement/user growth plan, product adoption, organic needs for current investment, executive and operational governance, and providing internal and external updates

To succeed in this role, you will need to have 10+ years of experience in technical project or program delivery within the domain of Data and AI, with a strong understanding of solution architecture related distributed data systems, programming experience in Python, SQL, or Scala, and experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role.