Manager, Delivery Solutions Architects - Toronto, ON

Навыки

• AppsFlyer / Adjust
• Проектирование архитектуры
• Big Data
• Data Lake
• ETL / ELT
• Machine Learning
• Позиционирование и УТП

О компании и продукте

• 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 .

Задачи

• 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
• REQ ID - CSQ427R107
• 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
• 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

Требования

• 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
• This requires resource orchestration skills and a solid understanding of Databricks technology and the Data+AI ecosystem

Условия

• At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees
• Location: Toronto, ON

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