Job SummaryWe 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 & QualificationsData 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:
- Expertise in:
- SQL Server
- PostgreSQL
- MSSQL
- Snowflake
Cloud & Data PlatformsGoogle 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
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Additional employment informationCompensation 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.