GCP Data Architect

RIVAGO INFOTECH INC.
Montgomery, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Montgomery, United States of America

Tech stack

Artificial Intelligence
Airflow
Computing Platforms
Google BigQuery
Cloud Storage
Information Engineering
Data Fusion
Data Governance
ETL
Data Masking
Data Systems
Data Warehousing
DevOps
Data Flow Control
Python
Meta-Data Management
Oracle Applications
Cloud Services
Cloudera
SQL Databases
Teradata
Workflow Management Systems
Google Cloud Platform
Cloud Platform System
Real Time Systems
Informatica Powercenter
Build Management
Data Lake
Information Technology
Physical Data Models
Cloud Migration
Terraform
Data Pipelines
Programming Languages

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: 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.

Requirements

  • 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

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