Enterprise Data Solutions Architect.

  • Atlanta, GA
  • Posted 8 hours ago | Updated 8 hours ago

Overview

Remote
On Site
Hybrid
$60 - $80
Contract - W2
Contract - Independent
Contract - 36 Month(s)
Able to Provide Sponsorship

Skills

Docker
Google Cloud Platform
Google Cloud
Good Clinical Practice
High Availability
Python
Provisioning
Version Control
Scalability
Bash
Cloud Computing
Continuous Delivery
DevOps
DevSecOps
IaaS
GitHub
Microservices
Cloud Storage
Continuous Integration
Disaster Recovery
GitLab
Management
Linux Administration
Jenkins
Encryption
Regulatory Compliance
Scripting
Stackdriver

Job Details

We are looking for a Cloud Data Architect (Google Cloud Platform) to design, build, and optimize enterprise data platforms in Google Cloud. The ideal candidate will combine expertise in data architecture, analytics, and cloud-native technologies to deliver scalable, secure, and high-performance solutions.

Key Responsibilities

  • Data Platform Architecture

    • Design cloud-native data architectures using Google Cloud Platform services (BigQuery, Cloud Storage, Dataflow, Pub/Sub, Looker, etc.).

    • Define data ingestion, transformation, storage, and analytics strategies.

    • Ensure data models support business intelligence, machine learning, and real-time analytics.

  • Cloud Strategy & Implementation

    • Lead migration of on-premises data warehouses and lakes to Google Cloud Platform.

    • Implement best practices for scalability, performance, and cost optimization.

    • Integrate structured, semi-structured, and unstructured data sources.

  • Governance & Security

    • Implement data governance frameworks, metadata management, and access controls.

    • Ensure compliance with data privacy laws (GDPR, HIPAA, etc.).

  • Collaboration & Leadership

    • Partner with business, engineering, and analytics teams to align solutions with business needs.

    • Mentor teams in Google Cloud Platform data engineering and architecture best practices.

Required Skills & Qualifications

  • Technical Skills:

    • 3–5+ years designing and implementing data solutions in Google Cloud Platform.

    • Strong knowledge of Google Cloud Platform data services: BigQuery, Dataflow, Pub/Sub, Cloud Composer, Looker, Cloud Storage, Dataproc, AI Platform.

    • Proficiency with SQL, Python, and ETL/ELT tools.

    • Familiarity with Infrastructure as Code (Terraform, Deployment Manager).

    • Experience in both batch and streaming data processing.

  • Certifications (Preferred):

    • Google Professional Data Engineer

    • Google Professional Cloud Architect

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.

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