Staff Data Architect

Responsibilities

• Operate and optimize Snowflake: monitor warehouse consumption and cost, administer RBAC and metadata tagging for cost attribution, and triage query-performance issues and internal requests.
• Build and operate AWS and Kubernetes infrastructure as code (Terraform), deployed via GitOps (ArgoCD).
• Maintain and improve CI/CD pipelines (GitHub Actions) for application and infrastructure delivery.
• Drive infrastructure optimization across performance, scalability, and cost (FinOps practices, tagging, attribution).
• Harden cloud infrastructure: IAM and RBAC, networking, secrets management, and compliance alignment.
• Build and maintain centralized observability (metrics, logs, alerting).
• Participate in the shared US-business-hours on-call rotation and collaborate closely with developer, security, and data teams.

Requirements

• Hands-on Snowflake (or comparable cloud data warehouse) experience in a production setting: SQL, warehouse operations, and query-performance fundamentals.
• Hands-on experience building and operating cloud infrastructure on AWS in production, with attention to security and cost.
• Infrastructure-as-code proficiency with Terraform.
• Experience with containerization and Kubernetes (Docker, k8s).
• Scripting and automation skills in Python, Go, or Bash, plus experience with CI/CD pipelines and at least one tool (GitHub Actions, Jenkins, CircleCI, Harness, etc.).
• Hands-on experience with AI-assisted engineering tools (e.g. Claude, OpenAI Codex, Cursor, GitHub Copilot, AWS Bedrock) and sound judgment about when and how to apply them safely.
• Strong collaboration and communication skills, and the ability to operate in a fast-paced, dynamic environment.
• This is an AI-native role. Work fluently with AI coding assistants to accelerate Terraform and script authoring, generate and maintain runbooks and documentation, and speed up log and query analysis, while reviewing and validating all generated output before it reaches production.

Nice-to-Haves

• Deep hands-on Snowflake administration: warehouse sizing, resource monitoring, RBAC administration, and query optimization.
• Advanced SQL and data-warehouse internals (clustering, partitioning, caching, execution plans).
• Experience with big-data and orchestration tools (Spark, Airflow, dbt).
• FinOps or cloud cost-optimization experience.
• Familiarity with data governance and compliance requirements such as HIPAA or SOC2.