Rivago Infotech Inc
GCP Data Architect
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a GCP Data Architect with a contract length of "unknown," offering a pay rate of "unknown." Key skills include GCP services, Python, SQL, and Terraform. Requires 15+ years in data engineering, with 3-5 years in GCP environments.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
June 6, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Bedford, MA
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🧠 - Skills detailed
#Scala #Data Architecture #Teradata #Apache Airflow #Security #Data Governance #Data Modeling #GCP (Google Cloud Platform) #ML (Machine Learning) #Cloud #Metadata #Data Lake #Data Engineering #BigQuery #Airflow #Data Pipeline #Programming #"ETL (Extract #Transform #Load)" #DevOps #Batch #Physical Data Model #Migration #Dataflow #Terraform #Snowflake #Python #AI (Artificial Intelligence) #Data Management #Data Warehouse #Storage #SQL (Structured Query Language) #Oracle #Informatica
Role description
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
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
