Marketing Statement:
Tokio Marine North America Services (TMNAS) provides professional support services to Tokio Marine Group companies in the United States, including Tokio Marine America, First Insurance Company of Hawaii, and Philadelphia Insurance Companies. Customer service is our focus and our passion! Tokio Marine North America Services adds value in all that we do, providing the best professional service to our business partners, allowing them to achieve their goals. Our talented team delivers actuarial, audit, corporate communications, financial and investment, human capital services, information technology, legal, and payroll expertise to our customers.
Job Summary:
The Platform Engineer II builds, extends, and maintains the shared data platform that enables engineering, analytics, and governance teams to deliver data products reliably and at scale. Operating at the Group Company level (e.g. PHLY, FICOH), this role is responsible for both the day-to-day operation and the build-out of new platform capabilities on the Databricks Lakehouse platform — managing Databricks Terraform configurations, deploying Unity Catalog structures (catalogs, schemas, RBAC) via Infrastructure as Code, maintaining Azure DevOps (ADO) pipelines, and participating in the full dev-to-prod data delivery lifecycle.
This is a data platform role that applies software engineering best practices — version control, automated testing, CI/CD, Infrastructure as Code — to the design and operation of a modern data platform. The Platform Engineer works closely with Data Engineers, Solution Architects, and Data Governance to ensure the platform supports the full data delivery lifecycle across each Group Company’s environments.
Essential Job Functions:
Platform Operations & Infrastructure:
Build and configure new Databricks workspaces, Unity Catalog structures (catalogs, schemas, volumes), and compute resources across development, test, and production environments for assigned Group Companies, as well as maintain existing configurations.
Design and develop new Databricks Terraform modules for repeatable, auditable provisioning of platform resources — including catalog deployment, schema creation, and RBAC/permissions via IaC — and maintain existing configurations.
Manage and optimize compute configurations (job clusters, SQL warehouses, serverless) balancing cost, performance, and isolation requirements.
Implement and maintain platform-level security controls: identity integration (Entra ID / service principals), ABAC policies, network security, and secrets management.
CI/CD & Deployment Automation for handoff to Production:
Build new and maintain existing Azure DevOps (ADO) pipelines for automated deployment of Declarative Automation Bundles (DABs), notebooks, libraries, and platform configuration.
Design and develop deployment patterns that support the dev → tst → prd promotion lifecycle with appropriate gating, validation, and rollback capabilities.
Create and maintain shared pipeline templates and reusable deployment components that engineering teams consume for their own data products.
Design and automate post-deployment tasks (DDL execution, configuration seeding, smoke testing).
Observability & Reliability on Databricks:
Build new business monitoring and alerting capabilities for platform health: compute utilization, job SLAs, pipeline failures, storage growth, and cost trends.
Design and build platform dashboards that give engineering and leadership visibility into operational metrics.
Investigate and resolve platform-level incidents; participate in root cause analysis and implement preventive measures.
Monitor and optimize platform costs; identify underutilized resources and recommend right-sizing.
Developer Experience & Self-Service:
Maintain platform documentation, onboarding guides, and runbooks.
Support engineering teams with platform-related issues: workspace access, compute configuration, deployment troubleshooting, Unity Catalog…