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Databricks

Builds cloud software for data analysis and AI

Manager – Delivery Solutions Architects

Implementation & Technical Account ManagementPosted on Nov 13
Full-timeUnited States

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, extract, transform, and load (ETL), machine learning, artificial intelligence, or data science.
  • Experience building and leading technical post-sales teams, including hiring, onboarding, and enabling post-sales professionals.
  • Ability to serve as a trusted advisor to technical executives guiding strategic data project delivery decisions.
  • Ability to lead a team through architecture discussion best practices, 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 industries.
  • U.S. citizenship is required to support Public Sector clients.

Responsibilities

  • Lead the Public Sector Delivery Solution Architects team and shape and monitor the region's post-sales execution strategy in collaboration with sales, pre-sales, professional services, and partners.
  • Make investment decisions with regional sales and pre-sales managers, refine the value proposition of the Delivery Solution Architect role, and promote it to sales teams and customers.
  • Serve as technical sponsor and thought leader to selected customers.
  • Hire, coach, and develop Delivery Solution Architects to prioritize work with customer stakeholders, including C-level executives, and accelerate use cases into production to drive usage growth.
  • Manage the team to achieve customer, company, and team goals, including usage growth, career growth, and hiring.
  • Keep the team technically current, support ongoing learning, align with other field functions, and ensure certification goals are met.
  • Assign accounts and distribute work to optimize customer coverage and team balance.
  • Help the team understand customer goals, use cases, and Databricks technology.
  • Build relationships with Sales, pre-sales, and professional services teams to accelerate customer growth.
  • Work with cross-functional teams to reduce customer risk, handle escalations, and address issues or blockers.
  • Lead team activities to monitor customer progress and forecast growth.
  • Improve internal processes, operational rigor, and organization-wide impact through programs.
  • Maintain an ongoing hiring pipeline.
  • Contribute with the team to create assets that build the Delivery Solution Architecture practice and improve effectiveness and consistency in customer work.

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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