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Manager, Delivery Solutions Architects - Toronto, ONDatabricks · Toronto, Canada
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Databricks

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Manager, Delivery Solutions Architects - Toronto, ON

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🗓️ Posted 2026-08-18 Toronto, Canada Hybrid ICT
💰 Salary Not shared 📊 Market 14,000 CAD–20,000 CAD/mo

About the Company

Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and over 60% of the Fortune 500 - rely on Databricks 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 Data Intelligence Platform that includes Agent Bricks, Lakeflow, Lakehouse, Lakebase and Unity Catalog. --- Databricks applicants Please apply through our official Careers page at databricks.com/company/careers. All official communication from Databricks will come from email addresses ending with @databricks.com or @goodtime.io (our meeting tool). Software Development Specialties: Apache Spark, Apache Spark Training, Cloud Computing, Big Data, Data Science, Delta Lake, Data Lakehouse, MLflow, Machine Learning, Data Engineering, Data Warehousing, Data Streaming, Open Source, Generative AI, Artificial Intelligence, Data Intelligence, Data Management, Data Goverance, Generative AI, AI/ML Ops

Responsibilities

  • ● Build and lead a team of Delivery Solution Architects.
  • ● Shape and monitor the post-sales execution strategy for customers in your region, in close collaboration with our sales, pre-sales, and professional services teams as well as partners.
  • ● Be responsible for the DSA team in the Canada region.
  • ● Report to the Director, Field Engineering in Canada.
  • ● Make investment decisions in collaboration with the sales and pre-sales managers for your region.
  • ● Help shape and adjust the value proposition of the DSA role for your region and promote it in front of sales teams and customers.
  • ● Be a technical sponsor and thought-leader to a select number of customers.
  • ● 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.
  • ● Contribute to the creation of assets to build the Delivery Solution Architecture practice and improve effectiveness and consistency in working with customers.
  • ● 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 DSAs ahead of the technical curve, ensuring they maintain advanced knowledge of the technology stack and advise customers on its best use, continuously learning and staying in-line with other field functions while consistently exceeding 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.

Requirements

  • ● 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.