About AI & Analytics: Artificial intelligence (AI) and the data it collects and analyzes will soon sit at the core of all intelligent, human-centric businesses. By decoding customer needs, preferences, and behaviors, our clients can understand exactly what services, products, and experiences their consumers need. Within AI & Analytics, we work to design the future—a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies.
By applying AI and data science, we help leading companies to prototype, refine, validate, and scale their AI and analytics products and delivery models. Cognizant’s AIA practice takes insights that are buried in data and provides businesses a clear way to transform how they source, interpret and consume their information. Our clients need flexible data structures and a streamlined data architecture that quickly turns data resources into informative, meaningful intelligence.
*Please note, this role is not able to offer visa transfer or sponsorship now or in the future*
Job Summary
We are seeking an experienced Lead Data Engineer with deep expertise in the Palantir ecosystem to drive enterprise data platform strategy and delivery. In this Associate Director-level role, you will architect, build, and govern scalable data solutions on Palantir Foundry and AIP. You will work closely with business and technology stakeholders to deliver high-impact data products. The role requires strong technical leadership, hands-on engineering expertise, and a focus on data-driven transformation.
In this role, you will:
· Lead the design, development, and operationalization of data pipelines and ontologies on Palantir Foundry.
· Own the architecture of datasets, transforms, and applications ensuring scalability, reliability, and security.
· Collaborate with data product owners and business analysts to translate requirements into Foundry-native solutions using PySpark, Contour, and Workshop.
· Establish and enforce data quality, lineage, and governance frameworks within the Palantir ecosystem.
· Evaluate and implement Palantir AIP capabilities, including LLM-powered workflows for enhanced business value.
· Mentor junior and mid-level engineers, conduct design reviews, and define engineering best practices.
· Work with cloud infrastructure teams to optimize deployment topology and resource utilization.
· Act as the primary Palantir SME in stakeholder discussions and provide leadership in Agile delivery processes.
What you need to have to be considered
· 10+ years of data engineering experience, including 4+ years working hands-on with Palantir Foundry.
· Strong proficiency in PySpark, Python, and SQL within the Foundry environment.
· Deep understanding of Palantir ontologies, object types, transforms, and Workshop application development.
· Experience with Palantir AIP and familiarity with LLM integration patterns is highly desirable.
· Solid knowledge of data modeling, lakehouse architecture, and enterprise data governance practices.
· Proven leadership experience in managing cross-functional teams and delivering complex data programs, along with strong communication skills.
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Applications will be accepted until 10 Jun 2026.
Salary and Other Compensation:
The hourly salary for this position is between $[151,000 - 177,500] 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
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。
