Posted 5 months ago
GCP Dataplex Engineer
@ Querentia Inc.
Toronto, Ontario
Overview
Querentia Inc. is hiring a contract GCP Dataplex Engineer to design and implement scalable data governance, security and cloud data management on Google Cloud Platform. The role operationalizes governance for sensitive telecom datasets using Dataplex, BigQuery and Composer/Airflow. Employment is contract-based; schedule.
Responsibilities:
- Design Dataplex lakes, zones and asset structures
- Implement RBAC and fine-grained security controls
- Build Composer/Airflow pipelines with governance controls
- Develop Dataplex data quality rules and monitoring
- Automate deployments with Pulumi or Terraform
Requirements summary:
- Hands-on GCP experience with Dataplex, BigQuery, Composer and GCS
- Strong data governance, classification and security expertise
- Proficiency in SQL and Python
- Experience with Terraform or Pulumi
- Experience with data quality and observability frameworks
Tools & skills
Source and dates
Source type not verified · jsonld
- Employer posting date
- 2026-05-27
- First seen by our source
- 2026-10-26
- Source record updated
- 2026-11-02
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Department | Data & analytics |
| Travel | air: none · ground: none |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Querentia Inc.
| Field | Value |
|---|---|
| Open jobs on Jobsy | 331 |
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.
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
Journal
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