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Databricks

Builds cloud software for data analysis and AI

Director Delivery Solutions Architects - Public Sector

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • At least 7 years of customer-facing experience in technical delivery, architecture, consulting, customer success, professional services, or post-sales leadership roles.
  • At least 5 years of people-leadership experience, including recruiting, coaching, developing, and building career paths for technical talent, and leading managers and multi-level technical organizations.
  • Experience building and leading post-sales, delivery, customer success, architecture, consulting, or professional-services organizations.
  • Deep expertise in cloud data and AI technologies, including data engineering, data warehousing, analytics, extract, transform, and load (ETL)/extract, load, and transform (ELT), data governance, machine learning, data science, and artificial intelligence.
  • Demonstrated success delivering production-grade data products, analytics platforms, AI solutions, and other scalable, secure, and governable customer workloads.
  • Ability to lead teams through architecture decisions, technical success planning, delivery execution, production go-lives, and customer-growth strategies.
  • Deep understanding of public-sector and regulated customer environments, including mission priorities, complex stakeholder models, governance requirements, and long planning cycles.
  • Executive presence and business acumen to engage senior leaders, manage strategic accounts, and make portfolio-level resource, investment, coverage, and prioritization decisions.
  • Track record of partnering across Sales, pre-sales, Professional Services, Customer Success, Engineering, Product, Marketing, and external partners to resolve escalations, mitigate risk, remove blockers, and improve customer outcomes.
  • U.S. citizenship is required.
  • Willingness to travel up to 30%, primarily within the Washington, D.C. metro area and to customer locations as needed.
  • Bachelor’s degree in Computer Science, Information Systems, Engineering, a related technical field, or equivalent practical experience.

Responsibilities

  • Build and lead a diverse, high-performing team of Delivery Solution Architects and managers by recruiting, coaching, and scaling the team.
  • Define, operationalize, and continuously improve the post-sales execution strategy for the Public Sector business.
  • Partner with Sales, Solutions Architecture, Professional Services, Customer Success, and strategic partners to align account plans, technical success plans, resource investments, and growth strategies.
  • Establish scalable account assignments, customer coverage, prioritization, capacity planning, and resource-allocation practices for strategic Public Sector accounts.
  • Standardize how Delivery Solution Architects guide customers from use-case discovery and architecture through implementation, production go-live, adoption, and platform expansion.
  • Lead a technically excellent Delivery Solution Architect organization with expertise in cloud data platforms, data engineering, warehousing, ETL/ELT, streaming, governance, machine learning, generative AI, and agentic applications.
  • Ensure customers receive practical, secure, and scalable architectural guidance for production data products, analytics platforms, AI applications, and mission-critical workloads.
  • Apply Public Sector requirements—including security, compliance, governance, mission continuity, procurement, and complex stakeholder environments—to architecture and delivery decisions.
  • Serve as a trusted executive technical advisor for select strategic customers, linking technical roadmaps and modernization programs to agency missions and measurable outcomes.
  • Build executive and operational relationships across customer technical, program, procurement, operational, and leadership stakeholders to accelerate adoption and long-term value.
  • Create operating mechanisms, playbooks, metrics, and review cadences to monitor customer health, delivery progress, adoption, usage growth, risks, escalations, and forecasted expansion.
  • Drive cross-functional resolution of delivery blockers and escalations, and provide leadership feedback on field processes, product needs, programs, and organizational investments.

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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