Data Engineer / Architect – GCP
Hi
We have an urgent role of Data Engineer / Architect – GCP.
Data Engineer / Architect – GCP
Location: Denver, CO (Remote)
Full time
Job Summary
Client is looking for an experienced Data Architect with strong expertise in Google Cloud Platform and modern data platform architecture. The ideal candidate will be responsible for designing scalable enterprise data architectures, defining best practices for data platforms, and guiding engineering teams in building high-performance data solutions using GCP.
This role requires deep expertise in Medallion architecture, cloud-native data platforms, and large-scale data processing systems, along with the ability to translate business requirements into robust data architectures.
• Deep expertise in BigQuery architecture, partitioning, clustering, and performance optimization
• Proven experience designing Medallion Data Architecture
• Strong programming expertise in Python and PySpark
• Advanced expertise in SQL and data modeling
• Experience architecting Cloud Dataflow pipelines
• Experience designing orchestration frameworks using Cloud Composer (Airflow)
• Hands-on experience with Google Cloud Storage (GCS)
• Experience designing version control and CI/CD practices using Git
• Strong knowledge of GCP IAM, security architecture, and data governance
• Experience designing scalable, secure, and cost-efficient cloud data platforms
We have an urgent role of Data Engineer / Architect – GCP.
Data Engineer / Architect – GCP
Location: Denver, CO (Remote)
Full time
Job Summary
Client is looking for an experienced Data Architect with strong expertise in Google Cloud Platform and modern data platform architecture. The ideal candidate will be responsible for designing scalable enterprise data architectures, defining best practices for data platforms, and guiding engineering teams in building high-performance data solutions using GCP.
This role requires deep expertise in Medallion architecture, cloud-native data platforms, and large-scale data processing systems, along with the ability to translate business requirements into robust data architectures.
• Deep expertise in BigQuery architecture, partitioning, clustering, and performance optimization
• Proven experience designing Medallion Data Architecture
• Strong programming expertise in Python and PySpark
• Advanced expertise in SQL and data modeling
• Experience architecting Cloud Dataflow pipelines
• Experience designing orchestration frameworks using Cloud Composer (Airflow)
• Hands-on experience with Google Cloud Storage (GCS)
• Experience designing version control and CI/CD practices using Git
• Strong knowledge of GCP IAM, security architecture, and data governance
• Experience designing scalable, secure, and cost-efficient cloud data platforms