Engineering Manager, Data Infrastructure

Job summary

Responsibilities

Anthropic is looking for an Engineering Manager to lead and scale our Data Warehouse & Streaming Infra team. You'll own the data platform that Anthropic runs on: the foundation every team relies on to understand the business, make decisions, and keep our systems safe. Every org is your customer.

• Lead, grow, and mentor the Data Warehouse & Streaming Infra team, fostering a culture of ownership, collaboration, engineering excellence, and execution at speed
• Own Anthropic's data warehousing, streaming, and processing capabilities end-to-end: "wow" user experience, ops, reliability/security/governance/cost, long-term strategic vision
• Support the team to scale and evolve our data ingestion, event streaming, change data capture, storage, orchestration, compute, query, and reporting systems at pace with business…
• Collaborate to define and execute the roadmap for Anthropic's batch and streaming data infrastructure, balancing immediate business needs with durable, scalable design
• Lead key platform decisions for the streaming backbone, such as managed versus self-operated Kafka, grounded in clear models of throughput, cost, and operational burden

What they're looking for

• Warehouse and batch technologies such as BigQuery, Snowflake, Iceberg, Spark, dbt, or Airflow
• Streaming and change data capture technologies such as Kafka, Pub/Sub, Flink, or Debezium, ideally including running them at high scale
• Multi-cloud (GCP, AWS, Azure) or multi-region data platforms, including data-residency requirements
• Data infrastructure at AI or ML-intensive companies: you've served customer teams that build pipelines for financial/billing data, model training, evaluation, or safety workflows
• Building and operating observability or monitoring for data systems at scale

Tech stack

• Kafka
• BigQuery
• Snowflake
• Spark
• dbt
• Airflow
• GCP
• AWS