About the Position

Sr Data Engineer

Architect role in a global organization focused on designing scalable data solutions using BigQuery ML and Python. The architect will define modern analytics architecture, enable advanced machine learning capabilities on cloud data platforms, and guide teams to deliver secure, high-performance solutions that drive business value and social impact within a hybrid work model.

Responsibilities

Design end-to-end cloud data architectures that leverage BigQuery and BigQuery ML to deliver scalable analytics platforms that support complex business reporting and predictive modeling needs for diverse stakeholder groups.
Develop robust machine learning solutions in BigQuery ML using Python-based feature engineering and model evaluation practices that improve decision quality across critical business processes and external customer services.
Optimize data warehouse structures and BigQuery query performance by defining partitioning strategies, clustering approaches, and cost control mechanisms that ensure efficient use of resources and rapid insight generation.
Collaborate with product owners, data scientists, and engineering teams to translate analytical requirements into technical blueprints that integrate BigQuery data assets, Python workflows, and downstream consumption layers.
Establish standards for data ingestion, transformation, and storage in BigQuery, including reusable patterns for Python-based pipelines to ensure reliability, auditability, and consistent data quality across projects.
Create architecture documentation and solution diagrams that clearly describe data flows, security controls, and integration touchpoints, enabling teams to implement BigQuery and Python solutions with confidence and alignment.
Guide teams on best practices for experimenting with BigQuery ML models, including model selection, training, validation, and monitoring to ensure models remain accurate, ethical, and relevant to business objectives.
Coordinate hybrid work collaboration by defining processes and tools that support effective communication, code review, and design validation for team members working both onsite and remotely in day shift.
Ensure security and compliance requirements are embedded into all BigQuery and Python solutions by applying encryption, access control policies, and data governance principles that protect sensitive information and build stakeholder trust.

Requirements

Proficiency in BigQuery and BigQuery ML
Strong experience with Python
Ability to design and implement scalable data architectures
Experience with machine learning and feature engineering
Knowledge of data warehousing, partitioning, and clustering strategies
Excellent collaboration and communication skills

We Offer

Competitive Salary: Between $100-140K depending on experience and qualifications.
Benefits: 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.
Incentives: Eligibility for Cognizant’s discretionary annual incentive program based on performance.

About the Company

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。

帮助您蓬勃发展与成长的福利

我们的福利计划以您为中心打造--帮助您享受充实、平衡且健康的生活。

财务健康

我们会定期审查市场数据，确保薪酬体现您所带来的价值。您的福利不仅限于薪资，还可能包括退休计划、财务教育等。

身心健康

我们通过带薪休假、在条件允许下的灵活工作安排、医疗保障计划、心理咨询、心理健康盟友计划等，赋能您将身心健康放在首位。

您的职业发展，由您做主

在 Cognizant 提供的 35 万多个岗位中，您将有机会探索新的技术、行业和工作地点，并打造推动职业发展的关键技能。

现实世界的影响力

想想您所依赖的那些知名品牌。很可能，他们也依赖我们来帮助强化其业务。在这里，您将把大胆的想法转化为改善全球生活的解决方案。

通往 Cognizant 的职业之路

以下是您在招聘流程中可以期待的内容。请注意，具体流程可能因岗位和工作地点而有所不同。欢迎查看我们的常见问题解答以了解更多信息。

第 1 步：申请合适的职位机会

寻找一个与您的技能和职业目标相匹配的空缺职位，并向我们展示您为何是最佳人选。没有看到合适的机会？欢迎加入我们的人才社区。

第 2 步：与您的招聘人员取得联系

如果我们的招聘人员认为您符合条件，他们将安排一次简短的介绍电话，进一步了解您，以及您的经验和技能如何与该岗位相匹配。

第 3 步：展示您的技能

如果您和我们的团队都希望继续推进招聘流程，您将与我们的招聘团队进行面试。部分岗位还可能需要参加技术评估和／或客户面试。

第 4 步：做出决定

随后，我们的团队将评估每位候选人在该岗位上取得成功的潜力。由于我们希望为您和我们双方找到最合适的匹配，这一步可能需要一些时间--但请放心，我们会及时向您更新进展。

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管理首选项

Sr data engg

Job description