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GCP Architect

Cognizant

Software and Technology Jobs

GCP Architect

full-timePosted: Dec 7, 2025

Job Description

About the role

We are seeking a skilled Google Cloud Platform (GCP) Data Engineer to design, build, and optimize data pipelines and analytics solutions in the cloud. The ideal candidate must have hands-on experience with GCP data services, strong ETL/ELT development skills, and a solid understanding of data architecture, data modeling, data warehousing and performance optimization.

In this role, you will:

  • Develop ETL/ELT processes to extract data from various sources, transform it, and load it into BigQuery or other target systems.
  • Build and maintain data models, data warehouses, and data lakes for analytics and reporting.
  • Design and implement scalable, secure, and efficient data pipelines on GCP using tools such as Dataflow, Pub/Sub, cloud run, Python and linux scripting.
  • Optimize BigQuery queries, manage partitioning and clustering, and handle cost optimization.
  • Integrate data from on-premise and cloud systems using Cloud Storage, and APIs.
  • Work closely with DevOps teams to automate deployments using Terraform, Cloud Build, or CI/CD pipelines.
  • Ensure security and compliance by applying IAM roles, encryption, and network controls.
  • Collaborate with data analysts, data scientists, and application teams to deliver high-quality data solutions.
  • Implement best practices for data quality, monitoring, and governance.

Work model: On Site

At Cognizant, we strive to provide flexibility wherever possible, and we are here to support a healthy work-life balance though our various wellbeing programs. Based on this role’s business requirements, this is an onsite position requiring 5 days a week in a client or Cognizant office in Parsippany, NJ.

The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.

What you need to have to be considered

· Bachelor’s degree in Computer Science, Information Technology, or related field.

· Minimum 8 years of experience in data engineering, preferably in a cloud environment.

· Minimum 3 years of hands-on and strong expertise in GCP services:

o BigQuery, Cloud storage, Cloud run, Dataflow, Cloud SQL, AlloyDB, Cloud Balancer, PubSub, IAM, Logging and Monitoring.

· Proficiency in SQL, Python and Linux scripting.

· Prior experience with ETL tools such as Datastage, Informatica, SSIS

· Familiarity with data modeling (star/snowflake) and data warehouse concepts.

· Understanding of CI/CD, version control (Git), and Infrastructure as Code (Terraform).

· Strong problem-solving and analytical mindset.

· Effective communication and collaboration skills.

· Ability to work in an agile and fast-paced environment.

· GCP Professional Data Engineer or Cloud Architect certification is a plus.

We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.

*Please note, this role is not able to offer visa transfer or sponsorship now or in the future*

Salary and Other Compensation:

Application will be accepted until December 30, 2025

The annual salary for this position is between $130,000- $150,000 USD depending on experience and other qualifications of the successful candidate.

This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and is subject to the terms of Cognizant’s applicable plans.

Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:

  • Medical/Dental/Vision/Life Insurance
  • Paid holidays plus Paid Time Off
  • 401(k) plan and contributions
  • Long-term/Short-term Disability
  • Paid Parental Leave
  • Employee Stock Purchase Plan

Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

The Cognizant community:
We are a high caliber team who appreciate and support one another. Our people uphold an energetic, collaborative and inclusive workplace where everyone can thrive.

  • Cognizant is a global community with more than 300,000 associates around the world.
  • We don’t just dream of a better way – we make it happen.
  • We take care of our people, clients, company, communities and climate by doing what’s right.
  • We foster an innovative environment where you can build the career path that’s right for you.

About us:
Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant (a member of the NASDAQ-100 and one of Forbes World’s Best Employers 2025) is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com

Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.

If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email CareersNA2@cognizant.com with your request and contact information.

Disclaimer:
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.

About the Role/Company

  • Cognizant is a global community with more than 300,000 associates around the world
  • We don’t just dream of a better way – we make it happen
  • We take care of our people, clients, company, communities and climate by doing what’s right
  • We foster an innovative environment where you can build the career path that’s right for you
  • Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era
  • Headquartered in the U.S., Cognizant is a member of the NASDAQ-100 and one of Forbes World’s Best Employers 2025
  • Cognizant is consistently listed among the most admired companies in the world
  • Cognizant is an equal opportunity employer

Key Responsibilities

  • Develop ETL/ELT processes to extract data from various sources, transform it, and load it into BigQuery or other target systems
  • Build and maintain data models, data warehouses, and data lakes for analytics and reporting
  • Design and implement scalable, secure, and efficient data pipelines on GCP using tools such as Dataflow, Pub/Sub, cloud run, Python and linux scripting
  • Optimize BigQuery queries, manage partitioning and clustering, and handle cost optimization
  • Integrate data from on-premise and cloud systems using Cloud Storage, and APIs
  • Work closely with DevOps teams to automate deployments using Terraform, Cloud Build, or CI/CD pipelines
  • Ensure security and compliance by applying IAM roles, encryption, and network controls
  • Collaborate with data analysts, data scientists, and application teams to deliver high-quality data solutions
  • Implement best practices for data quality, monitoring, and governance

Required Qualifications

  • Bachelor’s degree in Computer Science, Information Technology, or related field
  • Minimum 8 years of experience in data engineering, preferably in a cloud environment
  • Minimum 3 years of hands-on and strong expertise in GCP services: BigQuery, Cloud storage, Cloud run, Dataflow, Cloud SQL, AlloyDB, Cloud Balancer, PubSub, IAM, Logging and Monitoring
  • Proficiency in SQL, Python and Linux scripting
  • Prior experience with ETL tools such as Datastage, Informatica, SSIS
  • Familiarity with data modeling (star/snowflake) and data warehouse concepts
  • Understanding of CI/CD, version control (Git), and Infrastructure as Code (Terraform)
  • Strong problem-solving and analytical mindset
  • Effective communication and collaboration skills
  • Ability to work in an agile and fast-paced environment

Preferred Qualifications

  • GCP Professional Data Engineer or Cloud Architect certification

Skills Required

  • GCP services: BigQuery, Cloud storage, Cloud run, Dataflow, Cloud SQL, AlloyDB, Cloud Balancer, PubSub, IAM, Logging and Monitoring
  • SQL
  • Python
  • Linux scripting
  • ETL tools: Datastage, Informatica, SSIS
  • Data modeling (star/snowflake)
  • Data warehouse concepts
  • CI/CD
  • Version control (Git)
  • Infrastructure as Code (Terraform)
  • Problem-solving
  • Analytical mindset
  • Communication
  • Collaboration
  • Agile work environment

Benefits & Perks

  • Medical/Dental/Vision/Life Insurance
  • Paid holidays plus Paid Time Off
  • 01(k) plan and contributions
  • Long-term/Short-term Disability
  • Paid Parental Leave
  • Employee Stock Purchase Plan

Additional Requirements

  • On-site position requiring 5 days a week in a client or Cognizant office in Parsippany, NJ
  • No visa transfer or sponsorship available

Locations

  • India

Salary

130,000 - 150,000 USD / yearly

Skills Required

  • GCP services: BigQuery, Cloud storage, Cloud run, Dataflow, Cloud SQL, AlloyDB, Cloud Balancer, PubSub, IAM, Logging and Monitoringintermediate
  • SQLintermediate
  • Pythonintermediate
  • Linux scriptingintermediate
  • ETL tools: Datastage, Informatica, SSISintermediate
  • Data modeling (star/snowflake)intermediate
  • Data warehouse conceptsintermediate
  • CI/CDintermediate
  • Version control (Git)intermediate
  • Infrastructure as Code (Terraform)intermediate
  • Problem-solvingintermediate
  • Analytical mindsetintermediate
  • Communicationintermediate
  • Collaborationintermediate
  • Agile work environmentintermediate

Required Qualifications

  • Bachelor’s degree in Computer Science, Information Technology, or related field (experience)
  • Minimum 8 years of experience in data engineering, preferably in a cloud environment (experience)
  • Minimum 3 years of hands-on and strong expertise in GCP services: BigQuery, Cloud storage, Cloud run, Dataflow, Cloud SQL, AlloyDB, Cloud Balancer, PubSub, IAM, Logging and Monitoring (experience)
  • Proficiency in SQL, Python and Linux scripting (experience)
  • Prior experience with ETL tools such as Datastage, Informatica, SSIS (experience)
  • Familiarity with data modeling (star/snowflake) and data warehouse concepts (experience)
  • Understanding of CI/CD, version control (Git), and Infrastructure as Code (Terraform) (experience)
  • Strong problem-solving and analytical mindset (experience)
  • Effective communication and collaboration skills (experience)
  • Ability to work in an agile and fast-paced environment (experience)

Preferred Qualifications

  • GCP Professional Data Engineer or Cloud Architect certification (experience)

Responsibilities

  • Develop ETL/ELT processes to extract data from various sources, transform it, and load it into BigQuery or other target systems
  • Build and maintain data models, data warehouses, and data lakes for analytics and reporting
  • Design and implement scalable, secure, and efficient data pipelines on GCP using tools such as Dataflow, Pub/Sub, cloud run, Python and linux scripting
  • Optimize BigQuery queries, manage partitioning and clustering, and handle cost optimization
  • Integrate data from on-premise and cloud systems using Cloud Storage, and APIs
  • Work closely with DevOps teams to automate deployments using Terraform, Cloud Build, or CI/CD pipelines
  • Ensure security and compliance by applying IAM roles, encryption, and network controls
  • Collaborate with data analysts, data scientists, and application teams to deliver high-quality data solutions
  • Implement best practices for data quality, monitoring, and governance

Benefits

  • general: Medical/Dental/Vision/Life Insurance
  • general: Paid holidays plus Paid Time Off
  • general: 01(k) plan and contributions
  • general: Long-term/Short-term Disability
  • general: Paid Parental Leave
  • general: Employee Stock Purchase Plan

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Cognizant logo

GCP Architect

Cognizant

Software and Technology Jobs

GCP Architect

full-timePosted: Dec 7, 2025

Job Description

About the role

We are seeking a skilled Google Cloud Platform (GCP) Data Engineer to design, build, and optimize data pipelines and analytics solutions in the cloud. The ideal candidate must have hands-on experience with GCP data services, strong ETL/ELT development skills, and a solid understanding of data architecture, data modeling, data warehousing and performance optimization.

In this role, you will:

  • Develop ETL/ELT processes to extract data from various sources, transform it, and load it into BigQuery or other target systems.
  • Build and maintain data models, data warehouses, and data lakes for analytics and reporting.
  • Design and implement scalable, secure, and efficient data pipelines on GCP using tools such as Dataflow, Pub/Sub, cloud run, Python and linux scripting.
  • Optimize BigQuery queries, manage partitioning and clustering, and handle cost optimization.
  • Integrate data from on-premise and cloud systems using Cloud Storage, and APIs.
  • Work closely with DevOps teams to automate deployments using Terraform, Cloud Build, or CI/CD pipelines.
  • Ensure security and compliance by applying IAM roles, encryption, and network controls.
  • Collaborate with data analysts, data scientists, and application teams to deliver high-quality data solutions.
  • Implement best practices for data quality, monitoring, and governance.

Work model: On Site

At Cognizant, we strive to provide flexibility wherever possible, and we are here to support a healthy work-life balance though our various wellbeing programs. Based on this role’s business requirements, this is an onsite position requiring 5 days a week in a client or Cognizant office in Parsippany, NJ.

The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.

What you need to have to be considered

· Bachelor’s degree in Computer Science, Information Technology, or related field.

· Minimum 8 years of experience in data engineering, preferably in a cloud environment.

· Minimum 3 years of hands-on and strong expertise in GCP services:

o BigQuery, Cloud storage, Cloud run, Dataflow, Cloud SQL, AlloyDB, Cloud Balancer, PubSub, IAM, Logging and Monitoring.

· Proficiency in SQL, Python and Linux scripting.

· Prior experience with ETL tools such as Datastage, Informatica, SSIS

· Familiarity with data modeling (star/snowflake) and data warehouse concepts.

· Understanding of CI/CD, version control (Git), and Infrastructure as Code (Terraform).

· Strong problem-solving and analytical mindset.

· Effective communication and collaboration skills.

· Ability to work in an agile and fast-paced environment.

· GCP Professional Data Engineer or Cloud Architect certification is a plus.

We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.

*Please note, this role is not able to offer visa transfer or sponsorship now or in the future*

Salary and Other Compensation:

Application will be accepted until December 30, 2025

The annual salary for this position is between $130,000- $150,000 USD depending on experience and other qualifications of the successful candidate.

This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and is subject to the terms of Cognizant’s applicable plans.

Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:

  • Medical/Dental/Vision/Life Insurance
  • Paid holidays plus Paid Time Off
  • 401(k) plan and contributions
  • Long-term/Short-term Disability
  • Paid Parental Leave
  • Employee Stock Purchase Plan

Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

The Cognizant community:
We are a high caliber team who appreciate and support one another. Our people uphold an energetic, collaborative and inclusive workplace where everyone can thrive.

  • Cognizant is a global community with more than 300,000 associates around the world.
  • We don’t just dream of a better way – we make it happen.
  • We take care of our people, clients, company, communities and climate by doing what’s right.
  • We foster an innovative environment where you can build the career path that’s right for you.

About us:
Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant (a member of the NASDAQ-100 and one of Forbes World’s Best Employers 2025) is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com

Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.

If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email CareersNA2@cognizant.com with your request and contact information.

Disclaimer:
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.

About the Role/Company

  • Cognizant is a global community with more than 300,000 associates around the world
  • We don’t just dream of a better way – we make it happen
  • We take care of our people, clients, company, communities and climate by doing what’s right
  • We foster an innovative environment where you can build the career path that’s right for you
  • Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era
  • Headquartered in the U.S., Cognizant is a member of the NASDAQ-100 and one of Forbes World’s Best Employers 2025
  • Cognizant is consistently listed among the most admired companies in the world
  • Cognizant is an equal opportunity employer

Key Responsibilities

  • Develop ETL/ELT processes to extract data from various sources, transform it, and load it into BigQuery or other target systems
  • Build and maintain data models, data warehouses, and data lakes for analytics and reporting
  • Design and implement scalable, secure, and efficient data pipelines on GCP using tools such as Dataflow, Pub/Sub, cloud run, Python and linux scripting
  • Optimize BigQuery queries, manage partitioning and clustering, and handle cost optimization
  • Integrate data from on-premise and cloud systems using Cloud Storage, and APIs
  • Work closely with DevOps teams to automate deployments using Terraform, Cloud Build, or CI/CD pipelines
  • Ensure security and compliance by applying IAM roles, encryption, and network controls
  • Collaborate with data analysts, data scientists, and application teams to deliver high-quality data solutions
  • Implement best practices for data quality, monitoring, and governance

Required Qualifications

  • Bachelor’s degree in Computer Science, Information Technology, or related field
  • Minimum 8 years of experience in data engineering, preferably in a cloud environment
  • Minimum 3 years of hands-on and strong expertise in GCP services: BigQuery, Cloud storage, Cloud run, Dataflow, Cloud SQL, AlloyDB, Cloud Balancer, PubSub, IAM, Logging and Monitoring
  • Proficiency in SQL, Python and Linux scripting
  • Prior experience with ETL tools such as Datastage, Informatica, SSIS
  • Familiarity with data modeling (star/snowflake) and data warehouse concepts
  • Understanding of CI/CD, version control (Git), and Infrastructure as Code (Terraform)
  • Strong problem-solving and analytical mindset
  • Effective communication and collaboration skills
  • Ability to work in an agile and fast-paced environment

Preferred Qualifications

  • GCP Professional Data Engineer or Cloud Architect certification

Skills Required

  • GCP services: BigQuery, Cloud storage, Cloud run, Dataflow, Cloud SQL, AlloyDB, Cloud Balancer, PubSub, IAM, Logging and Monitoring
  • SQL
  • Python
  • Linux scripting
  • ETL tools: Datastage, Informatica, SSIS
  • Data modeling (star/snowflake)
  • Data warehouse concepts
  • CI/CD
  • Version control (Git)
  • Infrastructure as Code (Terraform)
  • Problem-solving
  • Analytical mindset
  • Communication
  • Collaboration
  • Agile work environment

Benefits & Perks

  • Medical/Dental/Vision/Life Insurance
  • Paid holidays plus Paid Time Off
  • 01(k) plan and contributions
  • Long-term/Short-term Disability
  • Paid Parental Leave
  • Employee Stock Purchase Plan

Additional Requirements

  • On-site position requiring 5 days a week in a client or Cognizant office in Parsippany, NJ
  • No visa transfer or sponsorship available

Locations

  • India

Salary

130,000 - 150,000 USD / yearly

Skills Required

  • GCP services: BigQuery, Cloud storage, Cloud run, Dataflow, Cloud SQL, AlloyDB, Cloud Balancer, PubSub, IAM, Logging and Monitoringintermediate
  • SQLintermediate
  • Pythonintermediate
  • Linux scriptingintermediate
  • ETL tools: Datastage, Informatica, SSISintermediate
  • Data modeling (star/snowflake)intermediate
  • Data warehouse conceptsintermediate
  • CI/CDintermediate
  • Version control (Git)intermediate
  • Infrastructure as Code (Terraform)intermediate
  • Problem-solvingintermediate
  • Analytical mindsetintermediate
  • Communicationintermediate
  • Collaborationintermediate
  • Agile work environmentintermediate

Required Qualifications

  • Bachelor’s degree in Computer Science, Information Technology, or related field (experience)
  • Minimum 8 years of experience in data engineering, preferably in a cloud environment (experience)
  • Minimum 3 years of hands-on and strong expertise in GCP services: BigQuery, Cloud storage, Cloud run, Dataflow, Cloud SQL, AlloyDB, Cloud Balancer, PubSub, IAM, Logging and Monitoring (experience)
  • Proficiency in SQL, Python and Linux scripting (experience)
  • Prior experience with ETL tools such as Datastage, Informatica, SSIS (experience)
  • Familiarity with data modeling (star/snowflake) and data warehouse concepts (experience)
  • Understanding of CI/CD, version control (Git), and Infrastructure as Code (Terraform) (experience)
  • Strong problem-solving and analytical mindset (experience)
  • Effective communication and collaboration skills (experience)
  • Ability to work in an agile and fast-paced environment (experience)

Preferred Qualifications

  • GCP Professional Data Engineer or Cloud Architect certification (experience)

Responsibilities

  • Develop ETL/ELT processes to extract data from various sources, transform it, and load it into BigQuery or other target systems
  • Build and maintain data models, data warehouses, and data lakes for analytics and reporting
  • Design and implement scalable, secure, and efficient data pipelines on GCP using tools such as Dataflow, Pub/Sub, cloud run, Python and linux scripting
  • Optimize BigQuery queries, manage partitioning and clustering, and handle cost optimization
  • Integrate data from on-premise and cloud systems using Cloud Storage, and APIs
  • Work closely with DevOps teams to automate deployments using Terraform, Cloud Build, or CI/CD pipelines
  • Ensure security and compliance by applying IAM roles, encryption, and network controls
  • Collaborate with data analysts, data scientists, and application teams to deliver high-quality data solutions
  • Implement best practices for data quality, monitoring, and governance

Benefits

  • general: Medical/Dental/Vision/Life Insurance
  • general: Paid holidays plus Paid Time Off
  • general: 01(k) plan and contributions
  • general: Long-term/Short-term Disability
  • general: Paid Parental Leave
  • general: Employee Stock Purchase Plan

Target Your Resume for "GCP Architect" , Cognizant

Get personalized recommendations to optimize your resume specifically for GCP Architect. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "GCP Architect" , Cognizant

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

TechnologyIT ServicesTechnologyConsulting

Answer 10 quick questions to check your fit for GCP Architect @ Cognizant.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.