About the role
As a Senior Azure Databricks Data Engineer / Architect, you will make an impact by designing and delivering scalable cloud-based data platform solutions that enable enterprise analytics, reporting, and data-driven decision-making. You will be a valued member of the Data Engineering team and work collaboratively with product owners, data engineers, business analysts, and other stakeholders to deliver secure, high-performing data solutions on Azure.
In this role, you will:
- Design and architect end-to-end data platform solutions using Azure Databricks, Azure Data Services, and modern cloud technologies.
- Build and optimize scalable data pipelines using Python and PySpark to ingest, transform, and validate large volumes of data.
- Configure and administer Databricks environments, including workspace management, security, access controls, and cluster optimization.
- Develop and maintain data models, Databricks SQL queries, and analytics solutions that support reporting and business intelligence initiatives.
- Implement CI/CD and data platform best practices using Azure DevOps while ensuring data quality, governance, performance, and operational reliability.
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 1-2 days per week in a client or Cognizant office in Irvine, California. 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
- Strong experience with Azure Databricks and PySpark in enterprise-scale data engineering environments.
- Hands-on experience with Azure Data Factory (ADF) and cloud-based data integration solutions.
- Experience working with Oracle Data Integrator (ODI) and relational database technologies.
- Strong SQL and PL/SQL development skills with expertise in performance tuning and query optimization.
- Experience designing and maintaining data lakes, data pipelines, and cloud-based analytics platforms on Microsoft Azure.
- Proficiency with Azure DevOps, version control, CI/CD methodologies, and automated deployment practices.
- Experience implementing data governance, security controls, and access management using services such as Azure Key Vault.
- Strong communication and stakeholder management skills with the ability to translate business requirements into technical solutions.
- Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent professional experience.
These will help you stand out
- Experience with Microsoft Fabric and modern analytics platforms.
- Knowledge of data modeling, data warehousing, and lakehouse architectures.
- Experience supporting automotive industry data and analytics initiatives.
- Familiarity with Databricks Workflows, job orchestration, and monitoring frameworks.
- Experience driving architecture standards, technical governance, and cloud modernization initiatives.
We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.
*Please note, this role is not able to offer visa transfer or sponsorship now or in the future*
Salary and Other Compensation:
Applications will be accepted until September 13, 2026.
The annual salary for this position is between $ 100,000 - $ 117,000 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.
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.
