Security Engineer | dbt Labs Global Negotiation Guide

Negotiation DNA: Competitive Equity + Compliance Bonus | AI Data Governance & Security 2026

Region	Base Salary	Stock (Options/RSU/4yr)	Bonus	Total Comp
Philadelphia / Remote-US	$168K–$202K	$108K–$195K	10–15%	$215K–$272K
San Francisco	$178K–$215K	$118K–$210K	10–15%	$228K–$290K
London	£120K–£150K	£75K–£138K	10–15%	£152K–£200K

Negotiation DNA

dbt Labs Security Engineers protect the data transformation infrastructure trusted by 40,000+ companies — dbt Cloud processes enterprise SQL, data models, and increasingly AI-powered metric queries that represent the most sensitive data operations in modern analytics. In February 2026, the Semantic Layer's integration with LLMs and AI agents introduces new security challenges — ensuring enterprise data definitions are not exposed through AI inference and that governed metrics maintain access controls through AI query paths.

dbt Labs' security compensation includes competitive equity with bonuses reflecting the critical importance of enterprise trust. Security engineers who understand both traditional cloud security and AI-specific data governance risks — particularly in the context of the Semantic Layer — command premium packages.

Level Mapping: dbt Labs SecEng = Google L4 Security = Snowflake SecEng = Databricks Security = Datadog SecEng

🏗️ AI Semantic Layer Security Lever

In February 2026, dbt Labs' Semantic Layer connects enterprise metrics to AI systems — creating new attack surfaces around metric definitions, data access controls, and LLM query paths. Security Engineers who can build secure AI data governance frameworks while maintaining SOC 2, GDPR, and enterprise compliance are essential to the enterprise sales motion.

Your security architecture directly enables dbt Labs to ship AI features to enterprise customers. Every security control and compliance framework you implement unblocks the Semantic Layer AI roadmap and maintains the trust that drives enterprise adoption.

Global Levers

1. AI Data Governance Specialization: "I'm securing the Semantic Layer's AI integration — ensuring enterprise metrics maintain governance through LLM and AI agent query paths. This novel security challenge commands a premium."
2. Enterprise Trust Revenue Impact: "Security compliance directly drives enterprise sales. SOC 2, GDPR, and AI governance certifications are deal requirements — my work has measurable revenue impact."
3. Snowflake/Databricks Counter: "I have security offers from Snowflake and Databricks with higher guaranteed comp. dbt Labs' equity must be competitive given the AI security complexity I'll own."
4. Data Governance Expertise: "My expertise in data governance and access control frameworks directly applies to the Semantic Layer security model. This domain specialization accelerates the enterprise roadmap."

Negotiate Up Strategy: "I'd like $192K equity over 4 years with a $210K base and 13% bonus target. I'm building the security framework for the AI-powered Semantic Layer — enabling enterprise adoption of dbt Labs' most strategic product. I have Snowflake and Databricks security offers with higher guaranteed comp. dbt Labs' equity must reflect the enterprise trust premium." Accept if above $178K equity.

Evidence & Sources

• [dbt Labs — AI Security Architecture 2026]
• [dbt Labs Security Comp — Levels.fyi 2025-2026]
• [Analytics Engineering — Security Compensation Market 2026]
• [Data Platform — AI Security Benchmarks 2026]