Lead Data Platform Engineer, Snowflake

Overview

Collaborative. Respectful. A place to dream and do. These are just a few words that describe what life is like  one of the world’s most admired brands, Toyota is growing and leading the future of mobility through innovative, high-quality solutions designed to enhance lives and delight those we serve. We’re looking for talented team members who want to Dream. Do. Grow.

with us. Toyota Financial Services (TFS) is the finance and insurance brand for Toyota and Lexus in North America, and an essential part of this world‑changing company.

Toyota does not offer support or sponsorship of job applicants for employment‑based visas or any other work authorization for this role now or in the future. You must have the right to work in the United States and not require Toyota support or sponsorship for immigration‑related employment.

This role designs, maintains, secures, and optimizes our Snowflake data platform and analytical ecosystem that supports it. Responsibilities include platform administration, user onboarding, governance, observability, audit readiness, and the establishment of Snowflake best practices across warehouses, databases, schemas, and access controls. The ideal candidate will also help build a Center of Excellence and evaluate new Snowflake capabilities such as Cortex and emerging agentic AI use cases.

• Design, implement, and maintain a secure, scalable, and reliable Snowflake platform across multiple environments
• Manage Snowflake warehouses, databases, schemas, roles, and access controls following enterprise best practices
• Develop and enforce standards for performance optimization, cost management, workload management, and platform usage
• Administer platform security including role-based access control, least‑privilege access, masking policies, row‑level policies, and audit controls
• Lead user onboarding activities including provisioning, access setup, role assignments, documentation, and enablement support
• Build and document best practices for Snowflake platform design, operations, governance, security, and support
• Monitor platform performance, cost, access activity, and usage trends through observability and audit capabilities
• Establish logging, auditing, and monitoring standards to improve operational visibility and compliance readiness
• Partner with data engineering, analytics, security, and infrastructure teams to support adoption and platform maturity
• Contribute as a core team member in setting up a Snowflake Center of Excellence to drive standards, reusable patterns, governance, and training
• Evaluate and recommend adoption of new Snowflake features including Cortex and other agentic or AI‑enabled capabilities
• Troubleshoot platform issues related to performance, configuration, security, access, and operational stability

• 8 or more years of experience designing, administering, and supporting Snowflake in an enterprise environment
• Strong understanding of Snowflake architecture including virtual warehouses, databases, schemas, storage, cloning, time travel, and secure data sharing
• Hands‑on experience with Snowflake security models including masking policies, row‑level security, and governance controls
• Experience with observability, audit logging, usage monitoring, and cost optimization for cloud data platforms
• Ability to document standards, operational procedures, governance controls, and best practices clearly and effectively
• Experience onboarding users and supporting cross‑functional teams in a shared data platform environment
• Hands‑on experience with AWS cloud services and solutions
• Strong communication, collaboration, and problem‑solving skills

• Experience establishing or contributing to a Data Platform or Snowflake Center of Excellence
• Experience with automation for administrative tasks, access provisioning, monitoring, lineage capture, metadata management, or policy enforcement
• Understanding of enterprise governance frameworks, compliance expectations, and secure platform operations
• Experience partnering with data governance, analytics engineering, or business intelligence…