Manager, Delivery Solutions Architects

REQ ID - CSQ427R107 Location: Toronto, ON Build and lead a team of Delivery Solution Architects. DSA’s lead the post sales technical strategy for our largest Enterprise customers, with a focus on ensuring use cases go into production as quickly and smoothly as possible. This requires resource orchestration skills and a solid understanding of Databricks technology and the Data+AI ecosystem.  As a DSA Manager, you will shape and monitor the post sales execution strategy for the customers in your region, in close collaboration with our sales, pre-sales and professional services teams as well as partners. You will be responsible for the DSA team in the Canada region and you will report to the Director, Field Engineering in Canada. You will make investment decisions in collaboration with the sales and pre sales managers for your region. You will help shape and adjust the value proposition of the DSA role for your region and promote it in front of sales teams and customers.  You will be technical sponsor and thought-leader to a select number of customers. You will hire and coach your team to prioritize and work with different customer stakeholders up to C-level executives, with the goal of driving usage growth by getting use cases into production, faster.  You and your team will contribute to the creation of assets to build the Delivery Solution Architecture practice 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) * Hire, coach, and grow a team of Delivery  Solutions Architects for a company in high-growth mode * Keep your team of DSA’s ahead of the technical curve. A DSA adds value by maintaining advanced knowledge of the technology stack, and advising customers on the best use of it in their architecture. You will make sure that your team is continuously learning and staying in-line with  the other field functions while consistently exceeding their certification goals * 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 * Build relationships and partner with Sales, pre Sales and professional services teams to accelerate growth of customers * Work with cross functional teams to reduce customer risk and help your team with escalations and address any issues or blockers * Lead team activities to monitor customer progress and forecast growth * Provide input to grow and improve internal processes, drive operational rigor and lead programs that drive impact across the organization * Maintain a robust hiring pipeline at all times What We Look For * 7+ years of successful experience in a customer facing role * Proven delivery experience in SaaS Technologies, particularly in the areas of Data Analytics, Data Warehousing, Data Engineering, ETL, Machine Learning, AI or Data Science. * Experience building and leading technical post-sales teams - hiring, on-boarding, and enabling post-sales professionals * Trusted advisor to technical executives that guide strategic data project delivery decisions * Lead a team through best practices for architecture discussions, use case  Go-Lives, creating project and execution plans and customer growth strategy * Create a positive morale for the team and help foster a working relationship between Field Engineering, Sales, and other important internal partners * Experience in delivery and deployment of workloads or data products into production, 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   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. Based on the factors above, Databricks anticpates 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.    Canada Pay Range $254,000—$340,000 CAD 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 and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. 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.

CSQ327R104 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 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 and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. 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.