Data Architect( AWS)

WinWire; Bengaluru; On-site; INR 4,500,000 - 7,500,000; Full time

Job summary

WinWire is seeking an experienced Senior AWS Data Engineer / Data Architect to design, build, and manage modern data lake and lakehouse architectures on AWS. The role requires hands-on experience with AWS data services like Lake Formation and Glue, plus governance, ingestion, and scalable platform design.

The candidate will architect and optimize enterprise data platforms, collaborate with business teams, and stay current with AWS analytics features. Generative AI exposure is a plus.

Qualifications

• Hands-on experience with AWS data services, especially Lake Formation and Glue.
• Designing, building and operating enterprise-scale data lake and lakehouse architectures.
• Strong governance, cataloging and data quality practices.

Responsibilities

• Design, build, and enhance enterprise-scale data lake and lakehouse architectures on AWS.
• Develop and maintain scalable data ingestion pipelines using AWS‑native services.
• Implement and manage AWS Lake Formation for secure data governance and fine‑grained access control.
• Build and optimize ETL workflows using AWS Glue.
• Design efficient data storage solutions leveraging S3 and S3 Tables.
• Collaborate with Data Strategy, Analytics, and Business teams to define technical solutions.
• Implement metadata management, cataloging, and data quality best practices.
• Optimize performance, scalability, and cost of AWS data platforms.
• Support architecture reviews and recommend improvements based on AWS best practices.
• Stay current with emerging AWS analytics and data platform features.
• Basic‑level practical experience with Generative AI implementation or AI‑assisted engineering is required.

Skills

AWS Lake Formation

AWS Glue

Data Lake Architecture

Lakehouse Architecture

Data Ingestion

Data Governance

ETL Pipelines

S3 Storage

Cost Optimization

Generative AI in Data Eng

Job description

We are seeking an experienced Senior AWS Data Engineer / Data Architect experience with strong expertise in designing, building, and managing modern data lake and lakehouse architectures on AWS. The ideal candidate should have hands‑on experience with AWS data services, particularly AWS Lake Formation and AWS Glue, along with a solid understanding of scalable data ingestion, governance, and modern data platform capabilities. The candidate will play a key role in designing, implementing, and optimizing enterprise data platforms.

Responsibilities

• Design, build, and enhance enterprise-scale data lake and lakehouse architectures on AWS.
• Develop and maintain scalable data ingestion pipelines using AWS‑native services.
• Implement and manage AWS Lake Formation for secure data governance and fine‑grained access control.
• Build and optimize ETL workflows using AWS Glue.
• Design efficient data storage solutions leveraging Amazon S3 and emerging capabilities such as S3 Tables.
• Collaborate with Data Strategy, Analytics, and Business teams to define technical solutions.
• Implement metadata management, cataloging, and data quality best practices.
• Optimize performance, scalability, and cost of AWS data platforms.
• Support architecture reviews and recommend improvements based on AWS best practices.
• Stay current with emerging AWS analytics and data platform features.
• Basic‑level practical experience with Generative AI implementation or AI‑assisted engineering is required.