Senior AWS Data Architect

Practice - AIA - Artificial Intelligence and Analytics

About AI & Analytics:
Artificial intelligence (AI) and the data it collects and analyzes will soon sit at the core of all intelligent, human‑centric businesses. By decoding customer needs, preferences, and behaviors, our clients can understand exactly what services, products, and experiences their consumers need. Within AI & Analytics, we work to design the future—a future in which trial‑and‑error business decisions have been replaced by informed choices and data‑supported strategies.

By applying AI and data science, we help leading companies to prototype, refine, validate, and scale their AI and analytics products and delivery models. Cognizant’s AIA practice takes insights that are buried in data and provides businesses a clear way to transform how they source, interpret and consume their information. Our clients need flexible data structures and a streamlined data architecture that quickly turns data resources into informative, meaningful intelligence.

Please note, this role is not able to offer visa transfer or sponsorship now or in the future

We are seeking a Data Architect with deep expertise in AWS cloud data platforms to lead enterprise‑scale data architecture and strategy. This role focuses on designing modern, scalable, and high‑performance data ecosystems across data lakes, warehouses, and streaming platforms. You will drive architecture governance, data modernization, and cloud adoption while aligning with business and analytics objectives. The position requires strong leadership, hands‑on architecture expertise, and the ability to deliver end‑to‑end data solutions.

• Define and lead enterprise data architecture strategy on AWS, including data lakes, data warehouses, and streaming platforms.
• Architect scalable data solutions leveraging AWS services such as Glue, Redshift, S3, EMR, Lambda, Aurora, and Kinesis.
• Design end‑to‑end ETL/ELT frameworks and data transformation pipelines for batch and real‑time processing.
• Lead data migration and modernization programs using AWS DMS and cloud‑native architectures.
• Establish best practices for data modeling, governance, performance tuning, and cost optimization.
• Collaborate with data engineering, analytics, and business teams to align architecture with enterprise data needs.
• Drive adoption of modern data patterns such as lakehouse, data mesh, and serverless architectures.
• Provide technical leadership, mentor teams, and oversee architecture reviews and design governance.

• 12+ years of experience in data engineering/architecture, including strong experience in AWS cloud environments.
• Deep expertise in AWS data services such as Glue, Redshift, EMR, S3, Lambda, Kinesis, Aurora, and Athena.
• Strong knowledge of data modeling, ETL/ELT frameworks, and large‑scale data processing.
• Proficiency in SQL and programming languages such as Python or PySpark.
• Experience with data lake, data warehouse, and streaming architectures and best practices.
• Proven expertise in performance optimization, scalability, and cost management of cloud data platforms.
• Experience leading data modernization, migration, and enterprise transformation initiatives.
• Strong leadership, stakeholder management, and Agile delivery experience.

Applications will be accepted until 26 Jun 2026.

The hourly salary for this position is between $[102,] 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.

• 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

Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.