# Manager, Delivery Solutions Architects - Financial Services at Databricks > Remote · United States · Manager · Other · open. Source: https://alderhq.app/jobs/greenhouse%3Adatabricks%3A8821959002 (read 2026-11-05). ## Facts (observed) - Company: [Databricks](https://alderhq.app/companies/databricks) - Location text: Illinois; Massachusetts; New York; Texas; Washington, D.C.; Remote - California - Where it can be done from (inferred): Remote · United States (evidence: "Location: Illinois; Massachusetts; New York; Texas; Washington, D.C.; Remote - California") - Posted: 2026-09-30 (36 days ago) - First seen by alder: 2026-11-03 · last verified: 2026-11-04 - Reposted: 0 times · edited: 0 times - Apply on the employer's site: https://databricks.com/company/careers/open-positions/job?gh_jid=8821959002 ## Pay and sponsorship - Posted pay: $197k–$271k per year (from the listing's pay field) - Market band for similar posted roles (New York, n 880): p25 $125k, median $152k, p75 $180k - H-1B filings at this company for similar roles, FY26: 23, median offered wage $153k ([US DOL OFLC LCA disclosure data](https://www.dol.gov/agencies/eta/foreign-labor/performance)) - Recognised sponsor (NL): registered as "Databricks" (checked 2026-11-03, [register](https://ind.nl/en/public-register-recognised-sponsors/public-register-regular-labour-and-highly-skilled-migrants)) - Licensed UK sponsor: registered as "Databricks UK Limited" (checked 2026-11-03, [register](https://www.gov.uk/government/publications/register-of-licensed-sponsors-workers)) ## Description (the employer's text) 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. Local Pay Range $197,100—$270,975 USD ### 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. --- Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Adatabricks%3A8821959002 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.