We are seeking a skilled GCP Dataplex Engineer to design and implement scalable data governance security and cloud-based data management solutions on Google Cloud Platform. This role will focus on operationalizing governance for sensitive telecom datasets using Google Cloud Dataplex BigQuery and Composer/Airflow.
The ideal candidate will have strong expertise in data governance cloud security and data engineering with the ability to build secure reusable and enterprise-aligned data platforms.
Key Responsibilities
Data Governance & Architecture
Design and implement Dataplex Lakes Zones and asset structures aligned with Bronze/Silver/Gold Medallion architecture.
Register and manage data assets across BigQuery and GCS environments.
Define and implement metadata tagging strategies including data classification ownership and sensitivity labeling.
Configure data lineage tracking across ingestion and transformation pipelines.
Produce low-level architecture designs and reusable governance frameworks.
Security & Compliance
Implement role-based access control (RBAC) and fine-grained security controls including row/column-level security and data masking.
Apply encryption and KMS-based controls for sensitive telecom and subscriber datasets.
Ensure governance and security compliance across enterprise data environments.
Data Engineering & Observability
Build and enhance Composer/Airflow pipelines with embedded governance and quality controls.
Develop Dataplex data quality rules and automate validation checks for anomalies missing data and SLA compliance.
Configure monitoring alerting and observability dashboards for pipeline reliability and operational performance.
Enable and publish governed data products aligned to business and analytics use cases.
Automate infrastructure and governance deployment using Pulumi or Terraform.
Required Qualifications
Strong hands-on experience with Google Cloud Platform services including:
Google Cloud Dataplex
BigQuery
Composer / Airflow
Google Cloud Storage (GCS)
Strong expertise in data governance classification RBAC and data security.
Proficiency in SQL and Python development.
Experience with Infrastructure as Code (IaC) tools such as Pulumi or Terraform.
Experience implementing data quality observability and monitoring frameworks.
Strong analytical and troubleshooting skills.
Preferred Qualifications
Telecom or high-volume telemetry data experience.
Experience with sensitive data governance and compliance frameworks.
Familiarity with enterprise data product enablement and reusable governance models.
Knowledge of cloud security best practices and IAM concepts.
Key Skills & Competencies
GCP Dataplex & BigQuery
Data Governance & Security
RBAC & Fine-Grained Access Control
Composer / Airflow Pipelines
SQL & Python Development
Infrastructure as Code (Terraform/Pulumi)
Data Quality & Observability
Medallion Architecture
Telecom Data Management
Job Summary We are seeking a skilled GCP Dataplex Engineer to design and implement scalable data governance security and cloud-based data management solutions on Google Cloud Platform. This role will focus on operationalizing governance for sensitive telecom datasets using Google Cloud Dataplex BigQ...
Job Summary
We are seeking a skilled GCP Dataplex Engineer to design and implement scalable data governance security and cloud-based data management solutions on Google Cloud Platform. This role will focus on operationalizing governance for sensitive telecom datasets using Google Cloud Dataplex BigQuery and Composer/Airflow.
The ideal candidate will have strong expertise in data governance cloud security and data engineering with the ability to build secure reusable and enterprise-aligned data platforms.
Key Responsibilities
Data Governance & Architecture
Design and implement Dataplex Lakes Zones and asset structures aligned with Bronze/Silver/Gold Medallion architecture.
Register and manage data assets across BigQuery and GCS environments.
Define and implement metadata tagging strategies including data classification ownership and sensitivity labeling.
Configure data lineage tracking across ingestion and transformation pipelines.
Produce low-level architecture designs and reusable governance frameworks.
Security & Compliance
Implement role-based access control (RBAC) and fine-grained security controls including row/column-level security and data masking.
Apply encryption and KMS-based controls for sensitive telecom and subscriber datasets.
Ensure governance and security compliance across enterprise data environments.
Data Engineering & Observability
Build and enhance Composer/Airflow pipelines with embedded governance and quality controls.
Develop Dataplex data quality rules and automate validation checks for anomalies missing data and SLA compliance.
Configure monitoring alerting and observability dashboards for pipeline reliability and operational performance.
Enable and publish governed data products aligned to business and analytics use cases.
Automate infrastructure and governance deployment using Pulumi or Terraform.
Required Qualifications
Strong hands-on experience with Google Cloud Platform services including:
Google Cloud Dataplex
BigQuery
Composer / Airflow
Google Cloud Storage (GCS)
Strong expertise in data governance classification RBAC and data security.
Proficiency in SQL and Python development.
Experience with Infrastructure as Code (IaC) tools such as Pulumi or Terraform.
Experience implementing data quality observability and monitoring frameworks.
Strong analytical and troubleshooting skills.
Preferred Qualifications
Telecom or high-volume telemetry data experience.
Experience with sensitive data governance and compliance frameworks.
Familiarity with enterprise data product enablement and reusable governance models.
Knowledge of cloud security best practices and IAM concepts.