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GCP Enterprise Architect / GCP Solution Architect

Peoplentech Llc
Alexandria, VA, United States
3 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
www.careerbuilder.com

Tech stack

Artificial Intelligence Airflow Computing Platforms BigQuery Cloud Computing Cloud Storage Databases Information Engineering Data Fusion Data Governance Extract Transform Load (ETL) Data Masking
+26 more
Data Systems Data Warehousing 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 Data Management 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

Enterprise Architecture, GCP (Good Clinical Practices), Enterprise Architecture, GCP (Good Clinical Practices), Cloud Computing, Data Warehousing, Artificial Intelligence (AI), Database Extract Transform and Load (ETL), Data Management, NCR Teradata, * 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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