Designs and implements scalable secure and cost-effective data solutions on the Google Cloud Platform.
Translate complex business requirements into cloud-native data warehouses data lakes and streaming pipelines while ensuring strict data governance platform modernization and optimization for AI/ML workloads.
Core Responsibilities
Platform Architecture: Design and build end-to-end cloud-native data platforms (Data Lakes Data Warehouses).
Data Pipelines: Architect and optimize robust ETL/ELT pipelines for batch and real-time processing.
Cloud Migration: Lead the transition and modernization of legacy on-premises data systems (e.g. Teradata Oracle Informatica) to GCP.
Data Modeling: Translate business needs into logical conceptual and physical data models (e.g. star/snowflake schemas Data Mesh concepts).
Governance & Security: Implement enterprise-grade security frameworks data masking and metadata management.
Required Skills & Qualifications
GCP Core Services: Deep production-level expertise in BigQuery Cloud Storage Dataflow Data Fusion Dataproc and Pub/Sub.
Programming Languages: Proficiency in Python and SQL.
DevOps & Orchestration: Experience with Infrastructure-as-Code (Terraform) and workflow orchestration (Cloud Composer/Apache Airflow).
Experience Level: Typically requires 15 years of experience in data engineering or architecture with at least 3 5 years focused specifically on GCP environments
Role : GCP Data Architect Location : Chaska (MN) - Primary/ Aurora (IL) or Bredford (MA) - Secondary (Hybrid) Type: C2C Detailed JD: Designs and implements scalable secure and cost-effective data solutions on the Google Cloud Platform. Translate complex business requirements into cloud-native da...
Designs and implements scalable secure and cost-effective data solutions on the Google Cloud Platform.
Translate complex business requirements into cloud-native data warehouses data lakes and streaming pipelines while ensuring strict data governance platform modernization and optimization for AI/ML workloads.
Core Responsibilities
Platform Architecture: Design and build end-to-end cloud-native data platforms (Data Lakes Data Warehouses).
Data Pipelines: Architect and optimize robust ETL/ELT pipelines for batch and real-time processing.
Cloud Migration: Lead the transition and modernization of legacy on-premises data systems (e.g. Teradata Oracle Informatica) to GCP.
Data Modeling: Translate business needs into logical conceptual and physical data models (e.g. star/snowflake schemas Data Mesh concepts).
Governance & Security: Implement enterprise-grade security frameworks data masking and metadata management.
Required Skills & Qualifications
GCP Core Services: Deep production-level expertise in BigQuery Cloud Storage Dataflow Data Fusion Dataproc and Pub/Sub.
Programming Languages: Proficiency in Python and SQL.
DevOps & Orchestration: Experience with Infrastructure-as-Code (Terraform) and workflow orchestration (Cloud Composer/Apache Airflow).
Experience Level: Typically requires 15 years of experience in data engineering or architecture with at least 3 5 years focused specifically on GCP environments