About the Role
This is a senior, client-facing onshore role requiring deep technical expertise, strong leadership presence, and the ability to independently drive architecture decisions across large, complex programs while managing distributed (onshore/offshore) engineering teams. A very strong expertise in working on Life Sciences Clinical R&D specifically Veeva CTMS is an important aspect for this role.
In This Role, You Will:
• Own and drive the enterprise data architecture roadmap across Azure, aligning with business strategy and long-term scalability goals.
• Architect complex, high-volume data platforms spanning batch, real-time, and streaming pipelines using Azure Synapse Analytics, Azure Data Factory, Azure Databricks, Event Hubs/Stream Analytics, and Data Lake Storage Gen2.
• Lead enterprise data modeling efforts (conceptual, logical, physical) across multiple domains — supporting analytics, BI, and AI/ML use cases.
• Define and enforce data governance, lineage, cataloging, and quality frameworks (Azure Purview or equivalent).
• Own the security and compliance architecture — encryption, RBAC, Private Endpoints, Key Vault, data masking, and regulatory alignment (GDPR, HIPAA, GxP).
• Serve as the primary technical authority in client architecture reviews, steering committees, and executive presentations.
• Lead and mentor a team of data architects and senior data engineers, both onshore and offshore.
• Drive modernization/migration initiatives — legacy on-prem warehouses to Azure, or multi-cloud to Azure consolidation.
• Establish and govern CI/CD, IaC (Terraform/Bicep), and DevOps practices for data platform delivery.
• Own cost optimization and FinOps practices across Azure data services.
• Conduct architecture governance reviews, risk assessments, and design authority sign-offs (HLD/LLD).
• Partner with enterprise architects, security teams, and business leadership to ensure alignment with overall IT strategy.
• Evaluate and pilot emerging Azure data/AI capabilities (e.g., Microsoft Fabric, AI Foundry integration) and recommend adoption.
Work Model
We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role's business requirements, this is a hybrid position requiring 3 days per week in a client or Cognizant office in Wilmington, DE. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.
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
• 10+ years in data engineering/architecture, with hands-on experience in Azure data services at an architect level.
• Deep, demonstrable expertise across:
– Azure Data Factory / Synapse Pipelines
– Azure Synapse Analytics (dedicated & serverless SQL pools)
– Azure Databricks (PySpark, Delta Lake, Unity Catalog)
– Azure Data Lake Storage Gen2
– Azure SQL Database / Managed Instance / Cosmos DB
– Microsoft Fabric (working knowledge strongly preferred)
• At least one implementation of a Life Sciences Clinical R&D project, either EDC, CTMS or eTMF implementation is required. Veeva CTMS implementation is preferred.
• Proven experience architecting Lakehouse, Medallion architecture, and modern data mesh patterns.
• Strong command of data modeling (3NF, Star/Snowflake, Data Vault 2.0).
• Advanced proficiency in SQL, Python/PySpark, and Spark performance tuning.
• Deep knowledge of Azure security & networking (Managed Identity, Private Link, VNet integration, Azure Firewall).
• Hands-on experience with Infrastructure as Code (Terraform or Bicep) and Azure DevOps CI/CD.
• Strong background in MDM, data governance, and metadata management tools (Purview, Collibra, or similar).
• Track record of leading large-scale migrations (Teradata/Netezza/On-prem SQL → Azure).
• Excellent stakeholder management — able to independently lead C-level/VP-level architecture conversations.
Salary and Other Compensation:
Applications will be accepted until October 14, 2026.
The annual salary for this position is between $88,000 - $160,000 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。
