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Databricks

Builds cloud software for data analysis and AI

Field Chief Technology Officer

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeUnited StatesIn-person

About the Job

Requirements

  • At least 15 years of experience spanning enterprise technology and consulting, including leading or advising on multi-year data platform and analytics transformations in large, complex organizations.
  • Significant experience inside a large enterprise software or cloud company in roles requiring navigation of matrixed organizations and large-scale change, combined with direct industry exposure rather than a career solely in horizontal software.
  • Experience in or with regulated industries such as financial services, healthcare, public sector, regulated manufacturing, or utilities, including familiarity with regulatory and compliance considerations affecting data and AI platforms.
  • A background combining hands-on data platform and analytics technology and architecture work, organizational and operating model change involving ways of working, skills, and governance, and executive consulting or advisory experience through strategy and multi-year execution.
  • Ability to operate credibly as a peer to C-level executives, lead business-outcome-focused conversations, and engage deeply in technical details when needed.
  • A proactive professional network across relevant customer associations, councils, and forums, and ability to use those networks to create executive entry points and opportunities.
  • Evidence of longevity and impact in prior roles, including building and sustaining long-term customer relationships and programs rather than frequent short stints.

Responsibilities

  • Build and maintain trusted-advisor relationships with C-level executives in large US-based and global accounts, particularly in regulated industries.
  • Cultivate professional networks among customer executives, boards, industry bodies, and partners to engage the right stakeholders.
  • Shape executive thinking on modern data and AI architectures, emphasizing Lakehouse and data platform modernization for long-term generative AI impact.
  • Lead C-level briefings, strategy sessions, and multi-day workshops connecting business outcomes, regulatory constraints, and operating model change to Databricks-based roadmaps.
  • Serve as a deep technical counterpart in the field, maintaining L200–L300 proficiency across Databricks products and engaging architects, data engineers, and data scientists on solution design and trade-offs.
  • Turn field patterns into reusable reference architectures, industry blueprints, and best practices for regulated industries, and share them through blogs, webinars, whitepapers, and conference keynotes.
  • Orchestrate cloud providers, global system integrators, consultancies, and independent software vendors around customer objectives and multi-year transformation programs.
  • Partner with Account Executives, Solutions Architects, Industry Leads, and Product Specialists on complex, multi-year sales cycles, platform decisions, and expansions, influencing annual contract value and consumption growth.
  • Provide structured, prioritized strategic-customer feedback to Product, Engineering, and Field leadership to influence the product roadmap, particularly for data, governance, security, and regulated-industry requirements.
  • Mentor senior Field Engineering and industry-focused talent, contribute to a pipeline of principal- and CTO-level leaders, and codify approaches for complex, regulated accounts.

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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