Manager, Delivery Solutions Architects - Toronto, ON

Databricks
Toronto
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 7+ yearsSkills: ["Communication","Leadership","Problem-solving"]

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.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Databricks
Databricks
3 months 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: 14 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
WebsiteLinkedIn