AWS Data Architect

Cognizant Technology Solutions Corporation
Hartford, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
$ 130K

Job location

Hartford, United States of America

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Business Analytics Applications
Big Data
Cloud Database
Information Engineering
Data Governance
Data Infrastructure
ETL
Distributed Data Store
Python
PostgreSQL
Query Optimization
Cloud Services
Simple Data Format
Parquet
Snowflake
AWS Lambda
Ab Initio
PySpark
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Data Pipelines

Job description

We are seeking a highly skilled Data AWS Architect to design and deliver scalable, cloud-native data and analytics solutions. In this role, you will lead the architecture and implementation of modern data platforms, enabling advanced analytics and AI-driven outcomes for enterprise and customer needs.

You will partner with cross-functional teams to define technical standards, guide development teams, and ensure the delivery of secure, resilient, and high-performing solutions on AWS.

Key Responsibilities

  • Design and architect scalable data and AI platforms leveraging modern cloud technologies

  • Define and enforce technical standards, best practices, and governance for data engineering and analytics solutions

  • Lead the design and implementation of cloud-native data pipelines (ETL/ELT)

  • Provide hands-on guidance to engineering teams on architecture, development, and deployment

Requirements

  • Strong experience with AWS-based data engineering and analytics solutions

  • Hands-on expertise in AWS Glue (ETL/ELT) and/or Ab Initio ETL tools

  • Deep understanding of:

  • Amazon S3 (storage, partitioning, lifecycle management)

  • Parquet file formats and query optimization

  • AWS Lambda for event-driven processing

  • Experience working with cloud databases such as:

  • Snowflake

  • Amazon Aurora PostgreSQL

  • Solid knowledge of:

  • AWS Step Functions and orchestration/scheduling frameworks

  • Python and PySpark for large-scale data processing

  • Proven ability to design scalable, distributed data architectures

Preferred Qualifications

  • Experience building enterprise data lake / lakehouse architectures

  • Familiarity with data governance, security, and compliance frameworks

  • Exposure to AI/ML data pipelines and analytics enablement

  • Strong consulting and stakeholder engagement skills

Benefits & conditions

salary range: $110,000 - $130,000 base salary

Why Join Us?

At Cognizant, you'll be part of a global community that values innovation, collaboration, and continuous learning. You will work on cutting-edge technologies, influence enterprise-scale data platforms, and drive meaningful business outcomes.

Equal Opportunity Statement

Cognizant is an equal opportunity employer. We are committed to fostering an inclusive environment where all individuals are respected and valued.

Apply for this position