Role at a glance
- Job function
-
Customer Support & Contact Center Customer Success
- Salary
- Not Disclosed
- Location
- Illinois, United States Massachusetts, United States
- Experience
- 5+ years of experience managing a customer-facing technical team (DSA, Solution Architect, Technical Account Manager, Customer Success...
- Education
- Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
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Role Summary
Leads a team of Delivery Solution Architects responsible for post-sales success with Databricks' largest Financial Services customers. The role sets portfolio technical strategy, sponsors customer delivery, and builds operating practices for the DSA team and broader practice.
What You'll Do
- Hire, coach, and develop the DSA team, including career growth, performance management, and development plans.
- Own capacity planning and investment forecasting across the Financial Services portfolio.
- Partner with Sales, Pre-Sales, Professional Services, and Systems Integrator partners to advance use-case delivery and reduce customer risk.
- Serve as a hands-on technical sponsor and trusted advisor to selected customers, including C-suite stakeholders, helping move use cases...
- Drive and forecast portfolio outcomes including use-case throughput, time-to-production, consumption growth, and renewal rates.
- Build operating systems, cadences, and playbooks for the DSA practice, and promote the value proposition of the DSA role.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Demonstrated leadership of pre-sales or post-sales technical talent; track record of putting data and AI workloads into production at scale; bias for building systems and growing people; track record of overachievement against quota, Goals or similar objective targets.
Required
- Financial services experience (banking, capital markets, insurance, or asset management) is preferred.
Original job description
Content provided by the employer
Original job description
Content provided by the employer
CSQ427R268
You will build and lead a team of Delivery Solution Architects (DSAs) responsible for the post-sales success of Databricks' largest Financial Services customers. This is one of the most consequential delivery leadership roles in the company. The customers in your portfolio anchor a strategic vertical for Databricks, and your team's work directly determines how quickly Data and AI transforms how they do business.
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. You build the systems, operating cadences, and playbooks that make your team and the broader DSA practice sharper over time.
The DSAs you lead are senior technical talent, drawn from principal-level solution architecture, top-tier consulting, or senior engineering backgrounds. Hiring, coaching, and growing this team is the heart of the job.
The impact you will have:
- Hire, coach, and develop a high-performing DSA team. Own career growth, calibrated performance management, and individual development plans.
- Own capacity planning and investment forecasting across the FINS portfolio. 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: use-case throughput, time-to-production, consumption growth, and renewal rates. Forecast each across your portfolio.
- Bring a programmatic approach to running the business. Build the systems, operating cadences, and playbooks that scale the DSA practice.
- Shape and promote the value proposition of the DSA role with our internal partners and our customers.
What we look for:
- 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 (banking, capital markets, insurance, or asset management preferred).
- A bias for building systems, not just running them. 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
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) 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. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
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.
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.