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 Within AI & Analytics, we work to design the future—a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies.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.
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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.
À savoir avant de postuler
- Autorisation de travail: Cognizant ne prendra en considération que les candidats à ce poste qui sont légalement autorisés à travailler au Canada sans avoir besoin d'un parrainage de l'employeur, aujourd'hui ou à l'avenir.
- Mesures d’adaptation: Si vous avez un handicap qui nécessite des mesures d’adaptation raisonnable pour effectuer une recherche d’emploi ou poser une candidature, veuillez envoyer un courriel à [email protected] avec votre demande et vos coordonnées.
- L’IA dans notre processus de recrutement: Nous utilisons des outils d'intelligence artificielle (IA) pour trier et évaluer les candidatures efficacement. Notre équipe examine ensuite les candidatures et décide qui passe à l’étape suivante.
- Poste à pourvoir: Sauf indication contraire, ce poste est actuellement vacant et nous cherchons à le pourvoir.
- Exigences linguistiques: Nous demandons à tous les candidats de posséder une connaissance de base de l’anglais afin de faciliter les communications internes. Pour les postes au Québec, la capacité à communiquer efficacement en anglais est requise car vous fournirez des services à et collaborerez avec des parties prenantes anglophones situées hors de la province.
- Inclusion: Cognizant est un employeur souscrivant au principe de l’égalité d’accès à l’emploi. Votre candidature et votre dossier ne seront pas examinés en fonction de la race, de la couleur, du sexe, de la religion, des croyances, de l'orientation sexuelle, de l'identité de genre, de l'origine nationale, du handicap, des renseignements génétiques, de la grossesse, du statut d'ancien combattant ou de toute autre caractéristique protégée par les lois fédérales, provinciales ou locales.
