We are seeking a highly skilled Senior GCP Data Engineer to design, build, and optimize scalable, cloud-native data pipelines and platforms on Google Cloud Platform (GCP). This role will act as the primary technical owner for implementing data pipelines aligned with Enterprise Architecture (EA) standards and driving engineering best practices across the data ecosystem. You will collaborate closely with cross-functional teams including Enterprise Architecture, Platform Engineering, Data Activation, and Solution Architects to enable robust data ingestion (batch and streaming) and transformation pipelines across multiple data sources. Key Responsibilities
Design, develop, and maintain scalable data pipelines on GCP for batch and real-time processing.
Implement data ingestion frameworks (push/pull) using services like Dataflow, DataStream, Pub/Sub, and Cloud Run.
Build and optimize data transformation pipelines using BigQuery, Dataform, and Spark-based frameworks.
Act as the technical lead/owner ensuring alignment with EA-approved data architecture.
Drive best practices in data engineering, including CI/CD, testing, monitoring, and cost optimization.
Collaborate with cross-functional teams to deliver end-to-end data solutions.
Ensure data quality, reliability, governance, and performance across pipelines.
Technical Qualifications Experience
6+ years of experience in data engineering, with strong focus on Google Cloud Platform (GCP).
GCP Professional Data Engineer certification - must have