*Please note, this role is not able to offer visa transfer or sponsorship now or in the future*
About the role
As a Data Platform Lead - Google Cloud Platform (GCP), you will make an impact by designing, governing, and optimizing scalable cloud-based data platforms that enable trusted, secure, and cost-efficient data solutions. You will be a valued member of the Data & Analytics team and work collaboratively with business stakeholders, data modelers, data engineers, architects, and platform teams to deliver enterprise-grade data capabilities on Google Cloud Platform (GCP).
In this role, you will:
- Define, document, and communicate enterprise data architecture standards, governance policies, security requirements, naming conventions, and framework guidelines across data platforms.
- Design scalable and resilient GCP data architectures that support growing business demands while maintaining performance, reliability, and operational efficiency.
- Establish data quality frameworks, backup and recovery strategies, and technical guardrails to ensure the integrity, availability, and security of critical data assets.
- Review data pipelines, storage solutions, and implementation approaches to ensure alignment with architectural standards, scalability goals, and cost optimization objectives.
- Partner with engineering and modeling teams to evaluate new technologies, address architectural challenges, identify bottlenecks, and recommend sustainable long-term solutions.
Work model
We strive to provide flexibility wherever possible. Based on this role’s business requirements, this position may be hybrid requiring 2-3 days from office in Davidson, NC.
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
· Extensive experience in Data Architecture and Data Warehouse Design, including enterprise data platforms, data lakes, and modern cloud-based analytics solutions.
· Strong hands-on experience as a Google Cloud Platform (GCP) Architect, with expertise in designing and implementing scalable, secure, and high-performing data solutions on GCP.
· Proficiency with Looker, including semantic modeling, dashboard development, governed metrics, and enterprise reporting solutions.
· Experience supporting and enabling Machine Learning (ML) workloads, including data preparation, feature engineering, ML data pipelines, and architecture considerations for AI/ML initiatives.
· Experience establishing architecture standards, governance frameworks, security controls, and data management best practices.
· Proven ability to design scalable, cost-efficient, and high-performance data solutions for large and growing datasets.
· Experience translating business requirements into technical architecture and communicating recommendations to technical and executive stakeholders.
· Strong understanding of backup, disaster recovery, data quality, and operational resilience strategies.
· Bachelor’s degree in computer science, Information Technology, Engineering, or a related field, or equivalent professional experience.
This will help you stand out
· Google Cloud Professional Cloud Architect and/or Professional Data Engineer certification.
· Experience with BigQuery, Dataflow, Dataproc, Vertex AI, and other GCP data and analytics services.
· Knowledge of data governance, metadata management, and enterprise data modeling practices.
· Experience evaluating emerging technologies through proof-of-concept initiatives.
· Strong leadership, stakeholder management, and mentoring capabilities.
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.
Salary and Other Compensation:
Applications will be accepted until July 27, 2026.
The annual salary for this position is between $125,000 - $150,000 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 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.
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。
