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Databricks

Builds cloud software for data analysis and AI

Manager – Delivery Solutions Architects

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeToronto, ON, CanadaIn-person

About the Job

Requirements

  • At least 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, artificial intelligence, or data science.
  • Experience building and leading technical post-sales teams, including hiring, onboarding, and enabling post-sales professionals.
  • Experience serving as a trusted advisor to technical executives who guide strategic data project delivery decisions.
  • Experience leading a team through best practices for architecture discussions, use-case go-lives, project and execution plans, and customer growth strategy.
  • Experience delivering and deploying workloads or data products into production, such as in a delivery architect, project manager, DevOps, or service/product owner role.
  • Conversance with customers’ current business issues and likely big data use cases across different industries.

Responsibilities

  • Build and lead a team of Delivery Solutions Architects responsible for post-sales technical strategy for large enterprise customers, with the goal of getting use cases into production quickly and smoothly.
  • Shape and monitor the region’s post-sales execution strategy in collaboration with sales, pre-sales, professional services teams, and partners.
  • Be responsible for the DSA team in the Canada region and report to the Director of Field Engineering in Canada.
  • Make regional investment decisions in collaboration with sales and pre-sales managers.
  • Shape and adjust the regional value proposition of the DSA role and promote it to sales teams and customers.
  • Serve as technical sponsor and thought leader for selected customers.
  • Hire and coach the team to prioritize work with customer stakeholders, including C-level executives, to grow usage by moving use cases into production faster.
  • Contribute to creating assets that build the Delivery Solution Architecture practice and improve effectiveness and consistency in customer work.
  • Manage a diverse team of Delivery Solution Architects to achieve customer, company, and team goals, including usage growth, career growth, and hiring.
  • Ensure the team maintains advanced knowledge of the technology stack, stays aligned with other field functions, continues learning, and meets certification goals.
  • Assign accounts and distribute work to optimize customer coverage and team balance.
  • Build customer-focused practices by understanding customer goals, use cases, and Databricks technology.
  • Build relationships and partner with sales, pre-sales, and professional services teams to accelerate customer growth.
  • Work with cross-functional teams to reduce customer risk, support escalations, and address issues or blockers.
  • Lead team activities to monitor customer progress and forecast growth.
  • Provide input to improve internal processes, drive operational rigor, and lead impactful organizational programs.
  • Maintain a robust hiring pipeline.

Desired Qualifications

  • Create a positive team morale and foster working relationships among Field Engineering, Sales, and other important internal partners.

About the Company

Databricks

Builds cloud software for data analysis and AI

Databricks builds cloud software that businesses use to organize data, analyze it, and develop AI applications. Its lakehouse architecture brings the flexible storage of a data lake together with the querying and management tools of a data warehouse. Data engineers prepare and update datasets, analysts build reports, and developers train models or create applications in a shared workspace with controls over who can use the data. The platform runs on Amazon, Microsoft, and Google clouds, and customers pay for computing usage or commit to longer contracts for discounted rates. Databricks was founded in 2013 and is headquartered in San Francisco, California.

Company size
10,001+
Company stage
Late Stage VC
Total funding
$32.1B
Headquarters
San Francisco, CA
Founded
2013

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