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Google Cloud Platform Data Architect

Hybrid in Chaska, MN, US • Posted 3 days ago • Updated 3 days ago

Full Time

50% Travel Required

Hybrid

Depends on Experience

Fitment

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Job Details

Skills

SQL
Snow Flake Schema
Streaming
Teradata
Terraform
Workflow
Oracle
Machine Learning (ML)
Meta-data Management
Migration
Optimization
Good Clinical Practice
Google Cloud
Google Cloud Platform
Informatica
Data Warehouse
DevOps
ELT
Extract, Transform, Load
Fusion
Data Engineering
Data Flow
Data Governance
Data Masking
Data Modeling
Apache Airflow
Programming Languages
Python
Real-time
Artificial Intelligence
Cloud Computing
Cloud Storage
JD
Orchestration

Summary

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 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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 90962964
Position Id: 8999673
Posted 3 days ago

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Kaasi Yarramsetti

Recruiter @ ICS Global Soft, Inc.

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