14 days ago
Base Salary
$405k - $485k/yr
Responsibilities
- Design and implement access-control, permission-management, audit-logging, and compliance infrastructure for sensitive data.
- Build and maintain financial data pipelines and warehouses for revenue, usage, business metrics, and reporting.
- Manage external relationships and upstream dependencies for third-party revenue ingestion pipelines.
- Architect disaster recovery, backup, replication, availability, and durability systems for petabyte-scale cloud data.
- Scale data processing infrastructure and enable self-service analytics using BigQuery, BigTable, Airflow, dbt, and Spark.
- Optimize query performance, manage infrastructure costs, and improve data reliability and availability.
- Set technical direction and navigate tradeoffs involving performance, cost, security, and maintainability.
- Collaborate with data scientists, analysts, business stakeholders, and technical and non-technical partners.
Requirements
- 10+ years of software engineering experience, excluding internships and co-ops, building data infrastructure, storage systems, or related distributed systems.
- 3+ years leading large-scale, complex projects or teams as an engineer or tech lead.
- Ability to set technical direction for a team rather than only execute within an established direction.
- Strong proficiency in Python, Go, Java, or a similar programming language.
- Experience with infrastructure-as-code using Terraform or Pulumi and cloud platforms such as GCP or AWS.
- Experience balancing performance, cost, security, and maintainability in complex technical systems.
- Excellent collaboration skills with technical and non-technical stakeholders.
- Bachelor’s degree in a relevant field, or an equivalent combination of education, training, and/or experience.
- Preferred experience with security and compliance requirements including ITGC, GDPR, and financial controls.
- Preferred background in data warehousing, ETL/ELT pipelines, analytics infrastructure, Kubernetes, containerization, cloud-native architectures, column-oriented databases, OLAP systems, or big data processing frameworks.
- Preferred experience in fintech, financial services, regulated environments, data protection, or access-control security engineering.
Benefits
- Annual salary range of $405,000–$485,000 USD.
- Hybrid policy currently requiring staff to work from an office at least 25% of the time, with some roles requiring more office time.
- Visa sponsorship may be available, with immigration-lawyer support for sponsored candidates.
- Competitive benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and office collaboration space.
Tech Stack
Apache AirflowApache SparkAWSdbtGoGoogle BigQueryGoogle Cloud PlatformJavaKubernetesPythonSQLTerraform
Categories
Data EngineeringDevOps
About Anthropic
We're an AI research company that builds reliable, interpretable, and steerable AI systems. Our first product is Claude, an AI assistant for tasks at any scale. Our research interests span multiple areas including natural language, human feedback, scaling laws, reinforcement learning, code generation, and interpretability.