Data Architect with Google Cloud Platform

Overview

On Site
$130,000 - $150,000
Full Time

Skills

gcp
google
data architect
GenAI
Agentic AI

Job Details

Role: Senior Google Cloud Platform Data Architect

Location: Austin, TX 78758 (100% onsite)

Hire type: FTE

Job Summary:

We are seeking a highly experienced and visionary Senior Google Cloud Platform Data Architect to lead the design, development, and implementation of scalable data solutions in Google Cloud Platform platform. The ideal candidate will possess deep expertise in Google Cloud Platform (Google Cloud Platform), data integration, data migration, system architecture, and Generative AI (GenAI) technologies. This role requires strategic thinking, hands-on technical skills, and the ability to collaborate across cross-functional teams to drive data-driven innovation.

Key Responsibilities:

  • Design and implement robust, scalable, and secure data architectures in Google Cloud Platform environment.
  • Lead end-to-end data integration and migration initiatives, ensuring minimal disruption and high data fidelity.
  • Define and enforce data governance, data quality, and metadata management standards.
  • Collaborate with business stakeholders to understand data requirements and translate them into technical solutions.
  • Architect and optimize data pipelines, data lakes, and data warehouses for performance and scalability.
  • Provide technical leadership and mentorship to data engineers and other team members.
  • Stay current with emerging technologies and industry trends to continuously improve data architecture strategies.

Required Skills & Qualifications:

  • Bachelor's or master's degree in computer science, Information Systems, or related field.
  • 15+ years of experience in data architecture, data engineering, or related roles.
  • Proven expertise in Google Cloud Platform Data Services (BigQuery, Dataflow, Cloud Data Fusion, Dataproc, Pub/Sub, Cloud Composer, Cloud APIs etc.) and IaC provisioning tool Terraform
  • Strong experience with ETL/ELT tools, data integration frameworks, and data migration strategies.
  • Deep understanding of system architecture, microservices, and API design.
  • Proficiency in SQL, Python, and cloud-native data tools.
  • Excellent problem-solving, communication, and stakeholder management skills.

Preferred Qualifications:

  • Certifications in Google Cloud Platform.
  • Experience with data security and compliance (e.g., GDPR, HIPAA).
  • Hands-on experience with GenAI/ Agentic AI tools, frameworks and platforms (e.g., Vertex AI Agent Builder, Agentspace etc.)

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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