Senior Platform Engineer (Cloud & Data)

Job highlights 8+ years in Platform Engineering with 3+ years on cloud data platforms, expertise in GCP, Snowflake, Okta, Terraform, Docker, Kubernetes Design and develop cloud-native data platforms on GCP, implement IAM and governance, automate infrastructure with IaC, ensure platform reliability and observability Job match score Early Applicant Keyskills Location Work Experience Job description 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. Role: Data Platform Engineer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Temporary/Contractual Role Category: Software Development Education UG: Any Graduate Key Skills Skills highlighted with ‘‘ are preferred keyskills GCPBigqueryCloudSnowflakeOkta TerraformCi/CdDocker ContainerPythonSQLKubernetes Report this job