Senior Platform Engineer (Cloud & Data)

Senior Platform Engineer (Cloud & Data)

Engagement Details

Location: Remote

Experience: 8+ years in Platform Engineering | 3+ years in cloud-based data platforms

Project / Requirement Overview

We are looking for a Senior Platform Engineer to build and manage scalable, cloud-native data platforms on GCP. The role focuses on platform engineering, governance, automation, secure data access, and platform reliability.

Key Responsibilities

Platform Engineering

• Design and develop cloud-native platform foundations on GCP.
• Create reusable templates for data storage, access control, and environment setup.
• Enable self-service onboarding for data teams.
• Support scalable and reliable platform architecture for enterprise data workloads.

Identity & Access Management

• Integrate Okta with GCP IAM and Snowflake.
• Implement SSO, RBAC, and least-privilege access controls.
• Automate user provisioning and lifecycle management.

Governance & Security

• Implement PII tagging, masking, and column-level security.
• Work with BigQuery policy tags and Snowflake tagging.
• Ensure compliance, governance, auditability, and secure data access.

Automation & Infrastructure

• Automate provisioning, access control, and metadata management.
• Utilize Terraform, Python, SQL, and CI/CD pipelines for infrastructure.
• Implement Infrastructure as Code (IaC) best practices.
• Support containerization and orchestration using Docker and Kubernetes.

Observability & Reliability

• Monitor platform usage, access, and data quality.
• Build alerting, logging, and audit mechanisms.
• Ensure platform reliability and operational excellence through CI/CD and monitoring practices.

Required Skills

• GCP (BigQuery, GCS, IAM).
• Snowflake (RBAC, governance, performance tuning).
• BigQuery (policy tags, partitioning, external tables).
• Okta (SSO, federation, lifecycle management).
• Python, SQL, Terraform.
• Infrastructure automation and Infrastructure as Code (IaC).
• Containerization tools such as Docker and Kubernetes.
• CI/CD tools (Bitbucket preferred).
• Strong understanding of platform reliability and automation.

Required Exposure

• Infrastructure automation (Terraform, IaC).
• Containerization (Docker / Kubernetes).
• CI/CD pipelines and platform reliability.

Good to Have

• Apache Iceberg / BigLake.
• Cross-platform data sharing (Snowflake BigQuery).
• Data observability tools.
• Metadata management systems.

Experience

• 8+ years of experience in Platform Engineering.
• 3+ years of experience working with cloud-based data platforms.
• Experience working in enterprise-scale environments.
• Strong communication and stakeholder management skills.