Databricks

Databricks

Posted via Greenhouse

Manager, Delivery Solutions Architects

Posted Aug 5, 2026

Role at a glance

Salary
Not Disclosed
Location
Madrid Milan, Italy
Work arrangement
Hybrid
Employment
Full-time
Experience
10+ years of experience in a customer-facing role

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Role Summary

AI-generated

The DSA Manager builds and leads a team of Delivery Solution Architects serving major customers across the SEMEA region, excluding France. The role works with Sales, Pre-Sales, FDE, and Partners teams to shape post-sales delivery strategy, drive platform adoption and growth, and provide technical leadership to selected customers.

What You'll Do

  • Manage, coach, and support a diverse team of Delivery Solution Architects
  • Assign accounts and distribute work across individuals for optimal customer coverage and team balance
  • Partner with Sales, pre Sales and FDE teams to accelerate growth of customers
  • Lead C-level thought leadership discussions with customers using AI tooling
  • Work with teams to reduce customer risk and help with escalations
  • Lead team activities to monitor customer progress and forecast growth

Generated from the employer's posting. Verify important details before applying.

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Qualifications

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; conversant with business issues our customers face today and likely big data use cases in different industries; fluent in Italian and English; based in Milan, Paris or Madrid, in commutable distance to the office location in all 3 countries.

Required

  • 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
  • Conversant with business issues our customers face today and likely big data use cases in different industries
  • Fluent in Italian and English

Preferred

  • Additional language skills in the region

Original job description

Content provided by the employer

(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 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.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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Databricks

About the company

Databricks

Large Enterprise

Databricks is a cloud-based data platform that specializes in providing solutions for data engineering, machine learning, and analytics. Founded in 2013 by the original creators of Apache Spark, the company enables organizations to unify data processing and analysis workflows, facilitating collaboration for data professionals. Databricks offers an integrated environment for data scientists, engineers, and business analysts, streamlining the process of building and deploying AI and data-driven applications. With a strong emphasis on simplifying big data management, Databricks helps businesses harness the power of their data to drive innovation and insights.