Manager, Delivery Solutions Architects
Databricks
| Company | Databricks |
| Category | Engineering |
| Location | Madrid; Milan |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Manager |
| Salary | Not stated by the employer |
| Posted | 13 May 2026 |
| Last verified | 4 Aug 2026 |
| Source | Employer ATS (greenhouse) |
Description
(CSQ327R106)
As a DSA Manager, your role is to build and lead a team of Delivery Solution Architects (DSAs). You work in close collaboration with the Sales, Pre-Sales, FDE and Partners teams in the Southern Europe, Israel, Middle-East and Africa (SEMEA, France excluded) region to shape the post-sales delivery strategy for our major customers and will report to the SEMEA SSA & DSA leader.
DSAs are collaborating with sales and field engineering teams to drive our customers' adoption and growth. They are guiding complex customers to maximize platform value and ROI. This hybrid role combines commercial skills to foster customer relationships and drive growth, with technical expertise across all Databricks products. They are engaged at all organizational levels to drive the adoption.
Your role will have 3 main pillars:
People : Hire, coach and support a diverse team able to ensure our customers’ success in their roadmap delivery
Business : You will contribute to the growth of the region and to the investment/co-investment positioning of your team with our customers
Leadership: You will be the technical sponsor and thought leader for a number of selected customers.
You and your team will contribute to the creation of assets to build the Delivery Solution Architect practice to and improve effectiveness and consistency in working with customers.
The impact you will have:
Manage a diverse team of Delivery Solution Architects to achieve customer, company, and team goals (usage growth, career growth and hiring)
Lead by example using our AI tooling to deliver C-level thought leadership discussions with our customers
Assign accounts and distribute work across individuals for optimal customer coverage and team balance
Inspire the team to be customer-obsessed by understanding customer goals, their use cases, and Databricks technology
Partner with Sales, pre Sales and FDE teams to accelerate growth of customers
Work with teams to reduce customer risk and help your team with escalations.
Lead team activities to monitor customer progress and forecast growth
Provide input to grow and improve internal processes and customer success service offerings
Promote cross-functional programs, plans, documentation
What we look for:
10+ years of experience in a customer-facing role
Experience leading a team of pre or post-sale consultants/solution architects, technical account managers or customer success engineers.
Experience in Cloud, Data, AI domains
Experience in putting workloads or data products into production and running them, e.g. in a delivery architect, project manager, DevOps, or service/product owner role.
Conversant with business issues our customers face today and likely big data use cases in different industries
Fluent in Italian and English. Additional language skills in the region will be advantageous.
Based in Milan, Paris or Madrid, in commutable distance to the office location in all 3 countries.
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits which can be accessed here . Italy Pay Range €134.400 — €184.800 EUR About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify an