Title: Technical Architect – GCP Data Engineering

Location: Mexico (Remote)

Type: Full-time

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We are seeking an experienced Technical Architect / GCP Data Engineer to design, develop, and maintain scalable data pipelines and cloud-native data solutions on Google Cloud Platform (GCP).

The idóneo candidate will have strong hands-on experience in data engineering, ETL/ELT development, data warehousing, cloud migration, and analytics solutions, with expertise in GCP services such as BigQuery, Dataflow, Dataproc, Cloud Composer, Pub/Sub, and Cloud Storage.

Key Responsibilities:

- Design and develop scalable ETL/ELT data pipelines on GCP.
- Build and optimize data solutions using BigQuery, Cloud Storage, Dataflow, and Dataproc.
- Develop and maintain data orchestration workflows using Cloud Composer (Airflow) and Workflows.
- Design data ingestion frameworks for batch and real-time/streaming data using Pub/Sub,



Kafka, and other cloud-native services.
- Implement data quality, validation, monitoring, and auditing mechanisms.
- Optimize SQL queries and BigQuery performance, including partitioning and clustering strategies.
- Collaborate with business stakeholders, architects, data analysts, and reporting teams to understand requirements and deliver scalable data solutions.
- Implement CI/CD pipelines and deployment automation using Git-based repositories and DevOps practices.
- Ensure data security, governance, and compliance through data masking, access controls, and privacy policies.
- Support cloud migration and modernization initiatives from on-premises environments or other cloud platforms to GCP.

📌 Technical Architect – GCP Data Engineering (México)
🏢 GeorgiaTEK Systems
📍 México