Practice - AIA - Artificial Intelligence and Analytics
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 Within AI & Analytics, we work to design the future—a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies.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 a Data Architect with strong expertise in Snowflake, AWS, DBT, Python, and modern cloud data platforms to support enterprise data engineering and analytics initiatives within the Life Sciences domain. This role will be responsible for designing scalable data architectures, developing data pipelines, and enabling secure, high-quality data integration across multiple business and operational systems. The ideal candidate will combine hands-on engineering expertise with architectural leadership to deliver modern cloud-native data solutions that support reporting, analytics, and business transformation initiatives.
In this role, you will:
· Design and implement scalable cloud-native data architectures leveraging Snowflake, AWS, DBT, and Python.
· Develop and maintain enterprise data pipelines for ingestion, transformation, validation, and distribution of data from multiple source systems.
· Build and optimize ETL/ELT frameworks using DBT, Snowflake, and cloud-native technologies to support analytics and reporting requirements.
· Design and support Snowflake data warehouse solutions, including schema design, performance optimization, clustering, and cost management.
· Utilize AWS services such as S3, Glue, Lambda, EMR, Redshift, and related services to support modern data platform architectures.
· Establish data quality, governance, lineage, and monitoring frameworks to ensure reliable and trusted data assets.
· Collaborate with business stakeholders, data analysts, and application teams to understand requirements and translate them into scalable technical solutions.
· Support data migration, modernization, and cloud transformation initiatives within Life Sciences environments.
· Monitor, troubleshoot, and optimize data workflows to ensure operational stability, performance, and reliability.
· Maintain architecture documentation, data flow diagrams, solution designs, and operational standards while ensuring compliance with security, regulatory, and governance requirements.
What you need to have to be considered
· 8+ years of experience in Data Architecture, Data Engineering, Data Warehousing, or Cloud Data Platform development.
· Strong hands-on expertise with Snowflake including data modeling, performance optimization, security, and administration.
· Extensive experience with AWS Cloud Services including S3, Glue, Lambda, EMR, Redshift, and cloud-native data architectures.
· Hands-on experience with DBT (Data Build Tool) for data transformation, modeling, testing, and deployment.
· Strong programming skills in Python, PySpark, and SQL for data processing, orchestration, and automation.
· Experience designing and implementing ETL/ELT solutions and enterprise data integration frameworks.
· Strong knowledge of Unix/Linux environments, shell scripting, and platform administration.
· Understanding of data governance, lineage, metadata management, and data quality best practices.
· Experience with CI/CD pipelines, Git-based version control, and modern DevOps practices.
· Experience within Life Sciences, Pharmaceutical, Healthcare, or regulated industries is highly preferred.
· Excellent communication, stakeholder management, problem-solving, and technical leadership skills.
#LI-EF1
#CB
#Ind123
Applications will be accepted until 8 Sep 2026.
Salary and Other Compensation:
The annual salary for this position is between $[137,500 - 161,500] 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
À propos de Cognizant
Cognizant (NASDAQ : CTSH) est un AI Builder et une entreprise de services numériques (ESN) élaborant des solutions complètes d’IA maximisant les investissements pour des résultats concrets. Sa profonde expertise des métiers, des processus et des technologies lui permet d’intégrer dans les systèmes technologiques le contexte unique de chaque organisation de l’ingénierie à la production à l’échelle. Son objectif : améliorer l’efficacité des équipes, créer de la valeur et permettre aux grandes entreprises de rester performantes dans un monde qui évolue rapidement. Pour en savoir plus : cognizant.ai ou @cognizant.
Renseignments suppplémentaires sur l'emploi
Les informations relatives à la rémunération du poste à pourvoir dépendent de la date de publication de l’offre de poste. Cognizant se réserve le droit de modifier ces informations à tout moment, sous réserve des lois applicables.
Cognizant est un employeur soucieux de l'égalité des chances entre candidats. Votre candidature sera étudiée indépendamment de votre race, couleur, sexe, religion, croyances, orientation sexuelle, identité de genre, origine, handicap, informations génétiques, grossesse, statut d'ancien militaire ou de toute autre critère jugé discriminant par les lois européennes ou françaises.
Vous êtes porteur d'un handicap, vous pouvez-nous contacter par courriel [email protected] si vous souhaitez préciser les aménagements nécessaires pour le poste ou les entretiens à venir.
Les candidats peuvent être invités à participer à des entretiens en face à face ou par vidéoconférence. En outre, les candidats peuvent être amenés à présenter une carte d'identité valide lors de chaque entretien.
