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).
- Robust 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.

📌 Senior Platform Engineer (Cloud & Data) (Ghaziabad)
🏢 Steady Rabbit
📍 Ghaziabad