Senior Data Engineer / Cloud Data Architect

What the role needs

• Gather, analyze, and translate business requirements into scalable technical solutions.
• Design, develop, and implement end-to-end ETL/ELT data pipelines with robust error handling, monitoring, and audit capabilities.
• Build and optimize enterprise data warehouses, data marts, and data lake architectures.
• Develop and maintain scalable data solutions using SQL, Python, and cloud-native technologies.
• Design and implement data models (Conceptual, Logical, and Physical) for OLTP and OLAP systems.
• Develop and optimize data processing solutions using Spark, Hive, Kafka, Hadoop, and Snowflake.
• Implement CI/CD pipelines and automate deployment processes using Jenkins and Git-based version control systems.
• Collaborate with business stakeholders, architects, and cross-functional teams in Agile/Scrum environments.
• Ensure data quality, governance, security, and performance optimization across enterprise platforms.
• Required Skills & Qualifications
• Data Engineering & ETL
• Strong experience with ETL/ELT development using Talend, DataStage, Spark, Hive, and SQL-based frameworks.

From the employer

Cognizant (NASDAQ: CTSH) is a leading provider of information technology, consulting, and business process outsourcing services, dedicated to helping the world's leading companies build stronger businesses. Headquartered in Teaneck, New Jersey (U.S.). Cognizant is a member of the NASDAQ-100, the S&P 500, the Forbes Global 1000, and the Fortune 500 and we are among the top performing and fastest growing companies in the world. Job Summary We are seeking an experienced Senior Data Engineer / Cloud Data Architect with 12+ years of expertise in designing, developing, and implementing enterprise-scale data solutions. The ideal candidate will have strong experience in Data Engineering, Cloud Platforms, Big Data technologies, ETL/ELT frameworks, Data Warehousing, and Business Intelligence solutions across Banking and Insurance domains. Key Responsibilities • Gather, analyze, and translate business requirements into scalable technical solutions. • Design, develop, and implement end-to-end ETL/ELT data pipelines with robust error handling, monitoring, and audit capabilities. • Build and optimize enterprise data warehouses, data marts, and data lake architectures. • Develop and maintain scalable data solutions using SQL, Python, and cloud-native technologies. • Design and implement data models (Conceptual, Logical, and Physical) for OLTP and OLAP systems. • Develop and optimize data processing solutions using Spark, Hive, Kafka, Hadoop, and Snowflake. • Implement CI/CD pipelines and automate deployment processes using Jenkins and Git-based version control systems. • Collaborate with business stakeholders, architects, and cross-functional teams in Agile/Scrum environments. • Ensure data quality, governance, security, and performance optimization across enterprise platforms. Required Skills & Qualifications Data Engineering & ETL • Strong experience with ETL/ELT development using Talend, DataStage, Spark, Hive, and SQL-based frameworks. • Expertise in designing enterprise data integration solutions and data migration strategies. Programming & Databases • Strong programming skills in: • Python • SQL • R • Expertise in: • SQL Server • PostgreSQL • MSSQL • Snowflake Cloud & Data Platforms Google Cloud Platform (GCP): • GCE, GKE, IAM • GCS • Cloud Run • Cloud Functions • DBT Amazon Web Services (AWS): • EC2, VPC, IAM • S3, Glue, Lambda • SNS, SQS • RDS, Elasticsearch • CloudFormation • CloudWatch • Redshift • Auto Scaling & Load Balancing Snowflake: • SnowSQL • SnowPark • Virtual Warehouses • Snowpipe Big Data Technologies • Hadoop Ecosystem • Hive / HiveQL • Spark • Kafka • Sqoop • HBase • MongoDB Application Accepted: 10/30/2026 The annual salary for this position is between $120,000 - $130,000 depending on experience and other qualifications of the successful candidate. 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 language Our strength is built on our ability to work together. Our diverse backgrounds offer different perspectives and new ways of thinking. It encourages lively discussions, creativity, productivity, and helps us build better solutions for our clients. We want someone who thrives in this setting and is inspired to craft meaningful solutions through true collaboration. If you are content with ambiguity, excited by change, and excel through autonomy, we’d love to hear from you! #LI-AV1#CB#Ind123 Additional employment information Compensation 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. Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview. Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws. Applicants for US based positions must be currently authorized to work for any employer in the United States. The company is unable to provide employment-based immigration sponsorship for US based positions. If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email CareersNA2@cognizant.com for roles based in the Americas or CareersIndia2@cognizant.com for roles based in India. About Cognizant: Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.