Staff Data Infrastructure Engineer — Scale, Security & Cloud

Anthropic; New York (NY); Hybrid; USD 405,000 - 485,000; Full time

Benefits offered by this job

Competitive compensation

Equity donation matching

Generous vacation

Parental leave

Flexible working hours

Job summary

Anthropic is seeking an experienced Data Infrastructure engineer to design, operate, and scale secure, privacy-respecting data systems across the organization. You will collaborate with data scientists, analysts, and business stakeholders to power data-driven decisions and trustworthy AI initiatives.

In this hybrid role, you will own data governance, build robust pipelines and warehouses for financial metrics, ensure cloud storage reliability, and scale data processing with tools like BigQuery,

Qualifications

• 10+ years of experience in a Software Engineer role building data infrastructure or distributed systems.
• 3+ years leading large-scale projects or teams as an engineer or tech lead.
• Proficiency in Python, Go, Java or similar languages.
• Experience with infrastructure-as-code (Terraform, Pulumi) and cloud platforms (GCP, AWS).
• Ability to balance performance, cost, security, and maintainability.
• Strong collaboration with technical and non-technical stakeholders.

Responsibilities

• Data Governance & Access Control: design and implement robust access control systems with audit logging and compliance.
• Financial Data Infrastructure: build and maintain data pipelines and warehouses powering reporting and metrics.
• Cloud Storage & Reliability: architect disaster recovery, backup, and replication for cloud data.
• Data Platform & Tooling: scale processing using BigQuery, BigTable, Airflow, dbt, and Spark.

Skills

Python

Go

Java

Distributed systems

Education

Bachelor’s degree

Tools

Terraform

Pulumi

Kubernetes

BigQuery

Airflow

dbt

Job description

Anthropic is seeking an experienced Data Infrastructure engineer to design, operate, and scale secure, privacy-respecting data systems across the organization. You will collaborate with data scientists, analysts, and business stakeholders to power data-driven decisions and trustworthy AI initiatives.

In this hybrid role, you will own data governance, build robust pipelines and warehouses for financial metrics, ensure cloud storage reliability, and scale data processing with tools like BigQuery,