Jobs / Cog***

GCP Data Architect (Migration)

Cog*** · Bridgewater, NJ, United States
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Bridgewater, NJ, United States120,000-150,000 USD/yearlyHybrid
Remuneration
120,000-150,000 USD/yearly
Location
Bridgewater, NJ, United States
Visa sponsorship
Sponsors visa

Job summary

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).

Benefits

Package.Equal Opportunity EmployerCognizant is an equal opportunity employer.We are committed to fostering a diverse, equitable, and inclusive workplace wherEmployment decisions are based on business needs, jobThe annual salary for this position will range from 120,000 to 150,000 and be baCognizant offers the followingFor eligible employees:Medical, Dental, Vision, and Life InsurancePaid Holidays and Paid Time Off (PTO)401(k) Plan with Company ContributionsLong-Term and Short-Term Disability Coverage

Qualifications

  • 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
  • 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

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

Skills

CommunicationLeadership

Degrees

AssociateBachelorDegree

Industry

AutomotiveInsuranceMedia

Company size

EnterpriseSmb