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.
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。
