Engineering Manager, Data Architecture

Anthropic; San Francisco (CA); Hybrid; USD 405,000 - 485,000; Full time

Job summary

Anthropic is seeking an Engineering Manager for Data Architecture to lead the data infrastructure team. In this role, you will be responsible for implementing scalable data systems that support AI safety and regulatory compliance, enabling the company’s growth.

The ideal candidate has extensive experience in data infrastructure, manages high-performing teams, and communicates effectively across technical and non-technical audiences. This position offers compensation between $405,000 and $485,000 annually.

Qualifications

• Extensive experience managing engineering teams in high-growth environments.
• Deep expertise in data modeling and large-scale data architectures.
• Track record of architecting scalable cloud-native data platforms.

Responsibilities

• Build and lead a team of data and infrastructure engineers.
• Drive technical strategy for the data stack architecture.
• Lead the design of automated data pipelines.

Skills

Systems engineering expertise

Data modeling

Cloud-native data platforms

Data governance principles

Excellent communication

Education

Bachelor’s degree or equivalent

Job description

About the Role

As the Engineering Manager for Data Architecture, you will lead the team responsible for building Anthropic’s north star implementation of data infrastructure. The team owns the full lifecycle of Anthropic’s most critical data, ranging from customer‑facing PII data like prompts and exchanges to core business data such as logging and financial records. Your mission is to grow this infrastructure into a world‑class platform that powers our rapidly expanding business while maintaining the highest standards for AI safety and regulatory compliance.

In this high‑leverage leadership role you will architect systems that support model training with customer consent, legal reviews, and AI safety evaluations (Safe Guard). You will ensure the data platform is secure, massively scalable, and flexible enough to support diverse product surfaces across multiple cloud environments. If you are passionate about building foundational systems that enable a frontier AI lab to scale safely and efficiently, this role is for you.

Key Responsibilities

• Build and lead the team: recruit and mentor world‑class data and infrastructure engineers; establish the team’s technical vision, operational standards, and strategic roadmap.
• Drive technical strategy: define the long‑term architecture for Anthropic’s data stack, ensuring it supports high‑velocity model training and complex inference workloads across all cloud regions.
• Architect scalable pipelines: lead the design and implementation of robust, automated data pipelines that handle petabyte‑scale datasets with high reliability and performance.
• Implement robust governance: build the systems and processes for automated data discovery, lineage tracking, and lifecycle management to ensure high data quality and integrity.
• Security and compliance‑by‑design: ensure data architecture inherently supports global privacy regulations and security requirements through automated controls and privacy‑preserving architectures.
• Cross‑functional enablement: partner with ML, Product, and Legal teams to unlock the power of data, providing the tools and platforms needed to derive insights without compromising safety.
• Standardize data quality: define and enforce SLAs for data availability and accuracy, building internal tools to monitor and maintain the health of the entire data ecosystem.
• Evangelize the data mission: advocate for modern data architecture as a core component of AI safety, communicating progress and risks to leadership and cross‑functional stakeholders.

About You

We are looking for a technical leader who combines deep systems engineering expertise with a passion for building scalable data organizations. The ideal candidate meets the following requirements:

Required

• Extensive experience managing and scaling engineering teams in high‑growth environments, with a focus on data infrastructure or distributed systems.
• Deep technical expertise in data modeling, database internals, and large‑scale data warehouse/lakehouse architectures.
• Proven track record of architecting cloud‑native, scalable data platforms that handle multi‑cloud deployments and high‑throughput data streams.
• Strong foundation in data governance principles, including metadata management, data lineage, and automated quality enforcement at scale.
• Ability to thrive in high‑ambiguity environments, translating broad business goals into specific technical roadmaps and actionable engineering tasks.
• Pragmatic approach to engineering: know when to build for the future and when to deliver immediate value through iterative improvements.
• Excellent communication skills, with the ability to explain complex architectural trade‑offs to both technical and non‑technical partners.
• Comfort with end‑to‑end ownership and a desire to build a full‑stack data foundation that serves as the company’s single source of truth.

Preferred

• 8+ years of experience managing technical teams.
• Experience growing an engineering team and charter through a period of rapid company scaling.
• Experience conducting privacy reviews, threat modeling, and risk assessments for production systems.
• Proven track record of designing and implementing privacy infrastructure serving millions of users.
• Experience at companies during periods of hypergrowth where you scaled privacy alongside the business.
• Exposure to AI/ML infrastructure and the unique privacy demands of large‑scale training and inference.

Compensation

Annual salary: $405,000 – $485,000 USD.

Logistics

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience.

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position.

Location-based hybrid policy: We expect all staff to be in one of our offices at least 25% of the time. Some roles may require more time in our offices.

Visa sponsorship: We sponsor visas for certain applicants; we will make every reasonable effort to secure a visa if you receive an offer.