GCP Data Architect (Migration)

GCP Architect

Position Overview

We are seeking a GCP Architect to lead the design, architecture, and implementation of scalable, cloud-native data platforms on Google Cloud Platform (GCP). This role is responsible for driving end-to-end data engineering solutions, establishing best practices, and partnering with business and technology stakeholders to deliver high-quality, secure, and reliable data products.

The ideal candidate will bring deep expertise in GCP data services, modern data architectures, data modeling methodologies, and cloud-native engineering practices, while also demonstrating strong leadership and stakeholder management skills.

Key Responsibilities

• Lead the design and implementation of enterprise-scale data architectures and solutions on Google Cloud Platform (GCP).
• Architect and develop scalable data pipelines using GCP services including BigQuery, Dataflow, Dataproc, and Pub/Sub.
• Design and implement modern data models utilizing Dimensional Modeling and Data Vault methodologies.
• Drive the development of robust ETL/ELT frameworks to support analytics, reporting, and advanced data use cases.
• Optimize data processing, storage, and query performance to ensure scalability, reliability, and cost efficiency.
• Establish and promote engineering best practices, including code quality, automation, and reusable design patterns.
• Implement CI/CD pipelines and Infrastructure as Code (IaC) using Terraform and DevOps methodologies.
• Ensure compliance with data governance, security, privacy, and regulatory requirements through effective use of IAM, DLP, and related cloud security controls.
• Collaborate with architects, business stakeholders, product owners, and engineering teams to define and deliver strategic data solutions.
• Mentor and guide data engineers while providing technical leadership across project teams.
• Support troubleshooting, performance tuning, and continuous improvement initiatives across the data ecosystem.

Required Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent experience.
• Proven experience designing and implementing cloud-based data solutions on Google Cloud Platform (GCP).
• Strong hands-on expertise with:
  • BigQuery
  • Dataflow
  • Dataproc
  • Pub/Sub
• Deep understanding of data warehousing concepts and modern data architecture principles.
• Experience with Dimensional Modeling and Data Vault methodologies.
• Strong experience designing and optimizing ETL/ELT frameworks and large-scale data pipelines.
• Hands-on experience with Terraform, CI/CD processes, and DevOps practices.
• Knowledge of data governance, security, and privacy controls, including IAM and Data Loss Prevention (DLP).
• Strong analytical, problem-solving, and communication skills.
• Demonstrated ability to lead technical teams and effectively manage stakeholder relationships.

Preferred Qualifications

• Google Cloud Professional certifications (such as Professional Data Engineer or Professional Cloud Architect).
• Experience with large-scale data modernization and cloud migration initiatives.
• Knowledge of real-time and streaming data architectures.
• Experience working in Agile delivery environments.
• Exposure to advanced analytics, AI/ML, or data science platforms on GCP.

Why Cognizant

• Opportunity to work on leading-edge cloud and data transformation programs.
• Collaborative and inclusive work environment.
• Continuous learning and professional development opportunities.
• Global career mobility and growth.
• Competitive compensation and benefits package.

Equal Opportunity Employer

Cognizant is an equal opportunity employer. We are committed to fostering a diverse, equitable, and inclusive workplace where all employees are valued and respected. Employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, gender identity or expression, sexual orientation, national origin, disability, veteran status, or any other characteristic protected by applicable law.