Field CTO
Serve as customer-facing senior technology advisor to C-level public sector leaders on data/AI modernization and mission transformation using the Databricks Data Intelligence Platform. Requires 15+ years experience in enterprise tech, public sector transformation, modern data architectures, and cloud platforms.
About the job
Impact You Will Have
- Build and maintain trusted-advisor relationships with C-level and mission leadership across public-sector accounts, including CIOs, CTOs, CDOs, CISOs, program executives, mission owners, and transformation leaders.
- Shape executive thinking on secure data and AI modernization, emphasizing lakehouse and data platform modernization as a foundation for analytics, governance, and generative AI in public-sector environments.
- Lead executive briefings, strategy sessions, and mission workshops that connect agency priorities, regulatory obligations, security requirements, budget realities, and workforce constraints to practical Databricks-based roadmaps.
- Serve as a deep technical counterpart in the field with strong working knowledge of Databricks products (L200-L300 proficiency) and the ability to credibly engage architects, engineers, analysts, data scientists, and security stakeholders on design trade-offs.
- Translate recurring customer needs into reusable public-sector reference architectures, solution blueprints, technical narratives, and thought leadership assets.
- Partner with Account Executives, Solutions Architects, product specialists, professional services, and ecosystem partners to drive complex, multi-year platform decisions, expansions, and mission programs.
- Provide structured feedback from strategic public-sector customers into Product, Engineering, and Field leadership, especially around governance, security, compliance, interoperability, and public-sector feature requirements.
- Mentor senior field engineering talent and help codify playbooks for complex public-sector engagements, including executive discovery, mission-value framing, partner orchestration, and secure deployment patterns.
- Represent Databricks externally with senior public-sector audiences through conferences, councils, roundtables, webinars, and executive forums.
What We Look For
- 15+ years of experience spanning enterprise technology, consulting, and public-sector transformation.
- Significant experience working in or with U.S. public-sector institutions, such as federal civilian agencies, defense organizations, intelligence-related environments, state and local government, or education.
- Direct experience in customer-facing pre-sales, technical strategy, architecture, advisory, or transformation leadership roles.
- Strong background in modern data architectures, including distributed data systems, data engineering, analytics, governance, and AI or machine learning platforms.
- Experience with public cloud environments such as AWS, Azure, or Google Cloud.
- Experience with mission areas relevant to Databricks public-sector offerings, such as cybersecurity, public safety, fraud detection, benefits modernization, defense analytics, logistics, or geospatial and IoT-enabled operations.
- Familiarity with public-sector procurement realities, partner-led delivery models, and the rhythm of government budget, program, and acquisition cycles.
- U.S. citizenship required and active clearance preferred.
Skills
Databricks, Lakehouse, Data Engineering, Analytics, Data Governance, Generative AI, Machine Learning, AWS, Azure, GCP, Cybersecurity, Public Sector Procurement
Similar jobs
Solutions Architecture jobsStaff Forward Deployed Engineer who partners with strategic customers to architect, prototype, implement, and migrate feature-flag systems across complex production environments. The role requires strong software engineering fundamentals, customer-facing communication, and the ability to work across unfamiliar stacks.
Leads enterprise software, SaaS, integration, identity, data, and agent-enabled architecture across Corporate IT. The role requires 10+ years of enterprise or IT architecture experience and strong expertise in governance, security, vendor strategy, and cross-functional enablement.
Leads strategic technical pursuits for enterprise customers, advising on architecture, AI deployments, and complex sales cycles while translating field insights into product and go-to-market strategy. Requires 15+ years of technical leadership experience, enterprise architecture expertise, and strong executive communication.
Build and own a zero-to-one AI-native platform for internal go-to-market teams, embedding with revenue operations to transform workflows and deliver measurable business outcomes. The role requires staff-level engineering depth, production LLM experience, and strong architectural judgment.
Leads technical solution design, demonstrations, and proof-of-value engagements for enterprise customers in partnership with sales. Requires 7+ years of enterprise solutions engineering experience, strong data-platform expertise, and willingness to travel at least 30%.