Data Engineering Architect

About Role:

We are seeking a hands-on Data Engineering Architect to design and build scalable data pipelines, implement cutting-edge Generative AI features, and architect robust data solutions. This role requires a technical leader who can translate business requirements into sophisticated data architectures while actively contributing to code development and system implementation.

Roles & Responsibilities:

Design and implement end-to-end data pipelines supporting batch and real-time processing

Architect scalable data solutions using modern cloud-native patterns and microservices

Develop comprehensive data strategies integrating traditional databases with cloud data platforms

Lead technical decision-making for data platform evolution and technology stack optimization

Build and deploy Generative AI features using AWS Bedrock foundation models

Implement RAG (Retrieval-Augmented Generation) architectures with vector databases

Design ML inference pipelines with proper monitoring, scaling, and cost optimization

Integrate AI/ML capabilities into existing data workflows and applications

Write production-quality code in Java and Python for data processing and API development

Develop data transformation logic, ETL/ELT processes, and data quality frameworks

Implement event-driven architectures using messaging systems and stream processing

Build and maintain data integration connectors and APIs

Optimize data storage strategies across relational databases and cloud data warehouses

Implement data governance, security, and compliance frameworks

Monitor and optimize system performance, reliability, and cost efficiency

Establish CI/CD pipelines for data infrastructure and applications.

Required Skills:

Experience in data engineering, software architecture, or related technical roles

3+ years of hands-on experience with AWS services in production environments

Experience with large-scale data processing (TB/PB scale datasets)

Background in building real-time analytics or ML-powered applications

What you'll Build:

Scalable data pipelines processing millions of events daily

GenAI-powered features enhancing user experiences and business insights

Real-time analytics systems supporting critical business decisions

Robust data infrastructure supporting multiple business units and use cases