Databricks

1 month ago

Manager, Delivery Solutions Architects - Toronto, ON

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Lead and grow a post-sales Delivery Solution Architecture team for Databricks Canada, directing post-sales technical strategy with Enterprise customers, coordinating with Sales, Pre-Sales and Professional Services to drive use cases into production and accelerate growth.

Location: Toronto

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Manager level

Key Responsibilities

•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 ahead of the technical curve by maintaining advanced knowledge of the technology stack and advising customers on the best use of it in their architecture; ensure team certification goals are met.
•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.

Key Requirements

•7+ years of successful experience in a customer facing role.
•Proven delivery experience in SaaS Technologies, particularly in 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.

Experience:7+ yearsSaaSData AnalyticsData WarehousingData EngineeringMachine LearningAIData Science

Skills:CommunicationLeadershipProblem-solving

Languages:English

Tech Stack:DatabricksApache SparkDelta LakeMLflowPythonSQL

Company Brief

Databricks

Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2013

Website LinkedIn

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Databricks

1 month ago

Manager, Delivery Solutions Architects - Toronto, ON

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: Toronto

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Manager level

Key Responsibilities

•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 ahead of the technical curve by maintaining advanced knowledge of the technology stack and advising customers on the best use of it in their architecture; ensure team certification goals are met.
•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.

Key Requirements

•7+ years of successful experience in a customer facing role.
•Proven delivery experience in SaaS Technologies, particularly in 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.

Experience:7+ yearsSaaSData AnalyticsData WarehousingData EngineeringMachine LearningAIData Science

Skills:CommunicationLeadershipProblem-solving

Languages:English

Tech Stack:DatabricksApache SparkDelta LakeMLflowPythonSQL

Company Brief

Databricks

Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2013

Website LinkedIn