GCP Senior Data Engineer Grade Location: Canada (Remote) Role Overview We are seeking a GCP Senior Data Engineer Grade with strong data engineering leadership experience to lead data engineering teams and deliver scalable data platforms and pipelines on Google Cloud Platform.

Key Responsibilities Build and optimize ETL/ELT pipelines using Dataflow (Apache Beam), Dataproc (Spark), Pub/Sub, and Cloud Functions.

Architect and manage Big

Query, Cloud Storage, and Data Fusion for productive data ingestion, transformation, and storage.

Lead a team of 10 engineers , review code, establish data engineering standards, and drive CI/CD and monitoring practices.

Optimize pipeline performance, query efficiency, and GCP cost management , including slot reservations and partitioning.

Work with data architects, data scientists, and analysts to deliver self-service data platforms and support advanced analytics/ML use cases.

Implement data validation, lineage,



and metadata management using tools such as Data Catalog and dbt.

Required Skills & Qualifications Experience leading data engineering teams onshore and offshore .

This is a lead position, not a senior data engineer position; candidates without leadership experience will not be considered.

Proficiency in SQL, Python, Java/Scala , and distributed systems including Spark and Beam .

Hands-on experience with GCP , including Big

Query, Dataflow, Dataproc, Pub/Sub, Composer (Airflow), and Terraform.

Familiarity with CI/CD, Git, and infrastructure-as-code .

Experience with data engineering standards, code reviews, monitoring, and production data platforms.

Nice-to-Have Skills GCP certifications , such as Professional Data Engineer.

Experience with real-time processing, Vertex AI, or multi-cloud environments .

📌 GCP Senior Data Engineer Grade (Alberta)
🏢 Querentia
📍 Alberta