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.
Work Location
Location: Bridgewater, NJ
Work Model: Hybrid
This role follows a hybrid work arrangement, requiring associates to work from the Bridgewater, NJ office on designated days while collaborating remotely for the remainder of the work week. Candidates should be located within a commutable distance of the office or be willing to relocate.
Salary and Benefits
The annual salary for this position will range from 120,000 to 150,000 and be based on experience, skills, qualifications, and other business and organizational considerations.
Benefits:
Cognizant offers the following benefits for eligible employees:
- Medical, Dental, Vision, and Life Insurance
- Paid Holidays and Paid Time Off (PTO)
- 401(k) Plan with Company Contributions
- Long-Term and Short-Term Disability Coverage
- Employee Assistance Program (EAP)
- Flexible Spending Accounts (FSA) and Health Savings Accounts (HSA), where applicable
- Employee Stock Purchase Plan (ESPP), where available
- Professional Development and Certification Opportunities
- Wellness Programs and Employee Resource Groups
Benefits and eligibility may vary based on location and employment status.
关于高知特 (Cognizant)
高知特(Cognizant)（纳斯达克代码：CTSH）作为一家AI Builder和相关技术服务提供商，致力于通过打造全栈AI解决方案，帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长，将企业独特的业务场景融入科技系统，赋能组织释放人才潜能，推动切实成果，并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情，敬请访问 cognizant.ai 或关注@cognizant。
补充雇佣信息
薪酬信息截至本职位发布之日为准。Cognizant 保留在适用法律允许的范围内随时修改该信息的权利。
申请人可能需要通过现场面试或视频会议的方式参加面试。此外，候选人在每次面试时可能需要出示其当前所在州或政府签发的有效身份证件。
Cognizant 是一家提供平等就业机会的雇主。在招聘过程中，您的申请和候选资格不会因种族、肤色、性别、宗教、信仰、性取向、性别认同、国籍、残疾、遗传信息、怀孕、退伍军人身份或任何其他受联邦、州或地方法律保护的特征而受到影响。
