Full-Time

Field Chief Technology Officer

Public Sector

Databricks

Databricks

10,001+ employees

Data lakehouse platform for analytics

Compensation Overview

$264k - $363k/yr

+ Annual performance bonus + Equity

No H1B Sponsorship

Washington, DC, USA + 2 more

More locations: Virginia, USA | Maryland, USA

In Person

US Citizenship, US Top Secret Clearance Required

Category
Sales & Solution Engineering (1)
Required Skills
LLM
Microsoft Azure
Machine Learning
Data Engineering
Cybersecurity
AWS
Databricks
Data Analysis
Google Cloud Platform

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Requirements
  • The candidate must have 15 or more years of experience spanning enterprise technology, consulting, and public-sector transformation.
  • The candidate must have significant experience working in or with United States public-sector institutions, including federal civilian agencies, defense organizations, intelligence-related environments, state and local government, or education.
  • The candidate must have direct experience in customer-facing pre-sales, technical strategy, architecture, advisory, or transformation leadership roles.
  • The candidate must have a strong background in modern data architectures, including distributed data systems, data engineering, analytics, governance, and artificial intelligence or machine learning platforms.
  • The candidate must have experience with public cloud environments such as Amazon Web Services, Microsoft Azure, or Google Cloud.
  • The candidate must have experience with relevant public-sector mission areas such as cybersecurity, public safety, fraud detection, benefits modernization, defense analytics, logistics, or geospatial and Internet of Things-enabled operations.
  • The candidate must be familiar with public-sector procurement realities, partner-led delivery models, and government budget, program, and acquisition cycles.
  • United States citizenship is required.
Responsibilities
  • Build and maintain trusted-advisor relationships with C-level and mission leadership across public-sector accounts, including chief information officers, chief technology officers, chief data officers, chief information security officers, program executives, mission owners, and transformation leaders.
  • Shape executive thinking on secure data and artificial intelligence modernization, emphasizing lakehouse and data platform modernization as foundations for analytics, governance, and generative artificial intelligence 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 at L200-L300 proficiency, engaging 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 to Product, Engineering, and Field leadership, especially regarding 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.
Desired Qualifications
  • Active security clearance is preferred.

Databricks provides a unified data and AI platform built around a lakehouse architecture that blends data lakes and data warehouses. It helps organizations ingest, store, manage, and analyze data from various sources, then apply analytics and machine learning at scale. The platform offers automated ETL, secure data sharing, and high-performance analytics, with built-in support for AI workloads and model deployment. Unlike traditional single-purpose data stores, Databricks combines data engineering, data science, and business analytics in one system, aiming to streamline data workflows and make insights readily actionable. Its goal is to enable businesses to manage data more efficiently, accelerate insight generation, and deploy AI and analytics across diverse teams through a subscription-based platform and professional services.

Company Size

10,001+

Company Stage

Late Stage VC

Total Funding

$32.1B

Headquarters

San Francisco, California

Founded

2013

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Simplify Jobs

Simplify's Take

What believers are saying

  • Databricks announced $5 billion funding on August 13, 2026, at a $190 billion valuation.
  • February 9, 2026 revenue run-rate hit $5.4 billion, growing over 65% year-over-year.
  • Electric joined Databricks on August 11, 2026, strengthening Lakebase for AI agents.

What critics are saying

  • Judge Breyer let authors' copyright class action proceed on April 29, 2026.
  • Poulin Holdings sued Databricks in Texas on March 11, 2026, over patents.
  • Snowflake and Alphabet compete directly; Databricks' $190 billion valuation demands flawless IPO execution.

What makes Databricks unique

  • Databricks owns the lakehouse stack, from Spark analytics to Lakebase PostgreSQL.
  • Unity Catalog and open formats anchor governance across clouds, data, and AI workloads.
  • Electric and Neon deepen agentic database capabilities beyond Snowflake's core warehouse focus.

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Benefits

Extended health care including dental and vision

Life/AD&D and disability coverage

Equity awards

Flexible Vacation

Gym reimbursement

Annual personal development fund

Work headphones reimbursement

Employee Assistance Program (EAP)

Business travel accident insurance

Paid Parental Leave

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

1%

2 year growth

0%
Databricks
Aug 13th, 2026
Databricks Grows >80% YoY, Surpasses $7B Revenue Run-Rate, Scales Lakebase, Genie, and Unity AI Gateway - Databricks

Closes $5 billion strategic funding at a $190 billion valuation, led by Coatue, along with Blackstone, MGX, T.

TechDay
Aug 12th, 2026
Databricks buys Electric to power AI agent sandboxes

The deal gives developers a way to keep AI agents working locally in sync with central data, cutting latency in sandboxed apps.

Electric
Aug 11th, 2026
Electric is joining Databricks | Electric

Electric is now part of Databricks. We're joining Neon to make Lakebase the best platform for building apps and agents. Everything we've open sourced stays open source.

Tech in Asia
Jul 28th, 2026
Databricks hires ex-AWS executive to lead Asia partners amid 85% growth

Databricks has appointed former Amazon Web Services executive Briscoe to lead its Asia Pacific & Japan partner organisation. She previously headed AWS's partner operations in the region and held similar roles at Microsoft and Cisco. The move supports Databricks' regional expansion. In April, the company named Simon Davies as regional leader and reported over 85% year-on-year growth in its fourth quarter. It now has more than 1,500 employees across Asia Pacific & Japan and plans to establish headquarters in Singapore. Databricks works with over 1,000 partners regionally and 8,000 globally through its Brickbuilder Partner Network. The company's AWS business has surpassed a $1 billion run rate. International Data Corporation forecasts Asia/Pacific AI spending will reach $175 billion by 2028.

Tech in Asia
Jul 17th, 2026
Coatue leads $3B Databricks investment at $134B valuation

Coatue Management is reportedly leading a $3 billion investment in Databricks, according to recent reports. The data analytics company previously raised roughly $5 billion earlier in 2026 at a $134 billion valuation. Databricks sells a lakehouse platform combining data lake and data warehouse capabilities and has expanded into AI software for enterprise applications. The company reported $5.4 billion in revenue run rate in February, up over 65% year on year, which grew to $6.9 billion by June. The earlier financing round included $2 billion in debt capacity intended to fund AI products, acquisitions and employee liquidity. At its current valuation, Databricks exceeds Snowflake's market capitalisation of approximately $83 billion. Management has indicated the company may remain private until market conditions improve.