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Skills
Apacheunmatched
Artificial Intelligence (AI)unmatched
Business Modelunmatched
Cloud Computingunmatched
Cloud Storageunmatched
Data Fusionunmatched
Data Managementunmatched
Data Modelingunmatched
Data Warehousingunmatched
Database Extract Transform and Load (ETL)unmatched
DevOpsunmatched
Enterprise Architectureunmatched
Enterprise Protectionunmatched
GCP (Good Clinical Practices)unmatched
Informaticaunmatched
Metadataunmatched
NCR Teradataunmatched
Oracleunmatched
Programming Languagesunmatched
Python Programming/Scripting Languageunmatched
SQL (Structured Query Language)unmatched
Snowflake Schemaunmatched
Star Schemaunmatched
Description
Please share profiles for the below role ASAP Indent : PSL304504-21-1 Role : GCP Enterprise Architect / GCP Solution Architect Location : Chaska (MN) - Primary/ Aurora (IL) or Bredford (MA) - Secondary (Hybrid) Rate : $80/hr – $85/hr
Exp : 15+
Detailed JD: 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