Manager, Delivery Solutions Architects

Sao Paulo · Brazil · 5+ years experience · Remote · Posted Sep 23, 2026

At a glance

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

You will build and lead a team of Delivery Solution Architects (DSAs) responsible for the post-sales success of Databricks' customers.
As a DSA Manager, you set the technical strategy across your portfolio, decide where to invest your team's capacity, and partner with Sales, Pre-Sales, Professional Services, and our Systems Integrator ecosystem to move use cases from kickoff to production.
You are a hands-on technical sponsor and trusted advisor to a select group of customers, including their C-suite.

Hire, coach, and develop a high-performing DSA team, owning career growth, calibrated performance management, and individual development plans.
Own capacity planning and investment forecasting across the FINS portfolio and defend investment decisions with data, alongside sales and field leadership.
Partner with Sales, Pre-Sales, Professional Services, and Systems Integrator partners to accelerate use case delivery and reduce customer risk.
Drive measurable customer outcomes including use-case throughput, time-to-production, consumption growth, and renewal rates, and forecast each across your portfolio.
Bring a programmatic approach to running the business by building systems, operating cadences, and playbooks that scale the DSA practice.
Shape and promote the value proposition of the DSA role with internal partners and customers.

5+ years of experience managing a customer-facing technical team (DSA, Solution Architect, Technical Account Manager, Customer Success Engineer, or equivalent).
Demonstrated leadership of a team of pre-sales or post-sales technical talent.
Track record of putting data and AI workloads into production at scale, e.g., as a delivery architect, project manager, DevOps engineer, or service or product owner.
Conversant with the business problems and Data and AI use cases in financial services.
A bias for building systems, not just running them, and a bias for growing people, not just managing them.
Track record of overachievement against quota, Goals or similar objective targets.
Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience.
Can travel up to 30% when needed.

Banking, capital markets, insurance, or asset management preferred in financial services.