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# Senior Data Engineer / Cloud Data Architect - Onsite

- **Company:** Cognizant Technology Solutions Corporation
- **Location:** Hartford, CT, United States
- **Experience:** Expert
- **Salary:** $120,000.0 - $130,000.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Big Data, Cloud Computing, Cloud Database, Computer Programming, Databases, Information Engineering, Extract Transform Load (ETL), Data Mart, Data Migration, Data Systems, Data Warehousing, IBM InfoSphere DataStage, Elasticsearch, Apache Hadoop, Apache HBase, Apache Hive, Identity and Access Management, Python (Programming Language), PostgreSQL, Microsoft SQL Server, MongoDB, Online Analytical Processing, Online Transaction Processing, Performance Tuning, Scrum Methodology, SQL Databases, Sqoop, Talend, Data Processing, Load Balancing, Cloud Platform System, Autoscaling, Snowflake, Apache Spark, Amazon Virtual Private Cloud (VPC), Git, Cloudformation, Containerization, Data Lakes, Deployment Automation, Enterprise Integration, Apache Kafka, Cloudwatch, Amazon Simple Queue Service (SQS), Software Version Control, Data Pipelines, Jenkins
- **Published:** October 19, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=d92b1c2a8e1f3f59

## About the Role

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, 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!

## Description

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., * 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., * 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