Querentia®Talent · Trust · Thrive
Data & AI

GCP Data Engineering Lead

Toronto, ONContract · On-site 3 months ago

Engagement

Contract

On-site

Apply on Ceipal

Quick Apply sends your details straight to our recruiters.

About the role

Job Summary

We are seeking a highly experienced GCP Data Engineering Lead to provide senior technical leadership and delivery management for enterprise-scale cloud data engineering initiatives. The ideal candidate will combine deep hands-on expertise in Google Cloud Platform data pipeline architecture with strong Agile delivery and quality assurance leadership.

This role will be responsible for leading end-to-end pipeline architecture, QA strategy, sprint execution, technical governance, and offshore team coordination across high-volume data ingestion and analytics environments.

Key Responsibilities

Technical Leadership & Architecture

  • Lead pipeline architecture design for Netscout and Sandvine ingestion pipelines.
  • Design scalable data ingestion and transformation workflows using: GCS landing zones
  • Google Cloud Dataflow
  • Google BigQuery
  • Bronze/Silver/Gold Medallion architecture layers

QA & Data Quality Management

  • Define and own end-to-end QA strategy for data pipelines including: Test coverage
  • Quality gates
  • Defect management
  • Governance validation

Delivery & Team Management

  • Lead Agile sprint planning, sprint reviews, and retrospectives.
  • Maintain RAID logs (Risks, Assumptions, Issues, Dependencies) and drive mitigation activities.
  • Produce weekly delivery status reports and maintain project trackers.
  • Coordinate with client engineering teams on environments, access, and technical decisions.
  • Manage offshore Data Engineers and Observability Engineers including task allocation and quality oversight.
  • Drive mentoring, knowledge transfer, and delivery excellence initiatives.

Required Qualifications

  • Advanced experience with Google Cloud Platform data engineering services including: Google BigQuery
  • Google Cloud Dataflow / Apache Beam
  • Pub/Sub
  • GCS

Preferred Qualifications

  • Advanced Google Cloud Platform certifications.
  • Telecom, telemetry, or high-volume streaming data experience.
  • Experience with observability and data governance frameworks.
  • Prior experience managing offshore delivery teams.
  • Strong mentoring and knowledge transfer capabilities.

Key Skills & Competencies

  • GCP Data Engineering
  • BigQuery & Dataflow
  • Apache Beam & Pub/Sub
  • Medallion Architecture
  • Data Pipeline QA & Governance
  • Python & SQL Development
  • Agile Delivery Management
  • Data Quality & Reconciliation
  • Team Leadership & Stakeholder Management

This engagement is managed end-to-end by Querentia. Our recruiters give you honest feedback at every stage, prepare you for the interview, and support a smooth onboarding once you land the offer.

Skills

GCPData Engineering