GCP Enterprise Architect / GCP Solution Architect
Peoplentech Llc
Chaska, MN, United States
9 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Compensation
$166,400 - $176,800
Working hours
Regular working hours
Job source
Tech stack
Artificial Intelligence
Airflow
Computing Platforms
BigQuery
Cloud Storage
Information Engineering
Data Fusion
Data Governance
Extract Transform Load (ETL)
Data Masking
Data Systems
Data Warehousing
+23 more
DevOps
Data Flow Control
Python (Programming Language)
Meta-Data Management
Oracle (Applications)
Cloud Services
Data Mesh
Cloudera
SQL Databases
Teradata SQL
Workflow Management Systems
Google Cloud
Cloud Platform System
Real Time Systems
Informatica Powercenter
Build Management
Data Lakes
Machine Learning Operations
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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