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.
コグニザントについて
コグニザント（NASDAQ: CTSH）は、AI Builderおよびテクノロジーサービスプロバイダーとして、お客様にフルスタックのAIソリューションを構築することで、AI投資と企業価値を結ぶ架け橋となっています。業界、ビジネスプロセス、エンジニアリングに関する当社の深い専門知識を活かし、組織固有のビジネス環境をテクノロジー・システムに組み込みます。これにより、人間の可能性を最大限に引き出し、確かな成果を実現するとともに、急速に変化する世界においてグローバル企業が常に一歩先を行くための支援を行っています。 詳細については、cognizant.ai をご覧ください。
雇用に関する追加情報
本募集に記載されている報酬情報は、掲載日時点で正確なものです。Cognizantは、適用される法令に従い、いつでも本情報を変更する権利を留保します。
応募者は、対面またはビデオ会議による面接への参加を求められる場合があります。また、各面接の際に、現在有効な州政府または政府発行の身分証明書の提示を求められる場合があります。
Cognizantは機会均等雇用主です。応募および選考において、人種、肌の色、性別、宗教、信条、性的指向、性自認、国籍、障がい、遺伝情報、妊娠、退役軍人の地位、その他連邦法・州法・地方自治体の法律により保護されるいかなる特性に基づく差別も行いません。
