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Google Cloud Platform Data Architect

Job

Rivago infotech inc

Chaska, MN (In Person)

Full-Time

Posted 3 weeks ago (Updated 21 hours ago) • Actively hiring

Expires 7/23/2026

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Job 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:
Archit ect 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 Google Cloud Platform. •
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 •
Google Cloud Platform 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 Google Cloud Platform environments