AWS Python Data Architect

Technology|Cloud Platform|Amazon Webservices Architecture

Technical Skills 2

Technical Skills 3

Technology|Oracle|PL/SQL

Technical Skills 4

Technical Skills 5

Technology|ETL & Data Quality|ETL & Data Quality - ALL

The Infosys Financial Services unit is a global leader in driving digital transformation for financial institutions. We specialize in leveraging advanced technologies such as AI, cloud, and data-led innovation to help our clients accelerate growth and unlock business value. Our AI-driven solutions empower financial institutions to make smarter decisions, enhance customer experiences, and achieve operational excellence. Join us to be part of a pioneering team that is at the forefront of financial services transformation.

You'll have the opportunity to work with cutting-edge AI technologies, collaborate with industry experts, and contribute to transformative projects across banking, wealth management, and insurance sectors. If you're passionate about AI and eager to make a significant impact, the Infosys Financial Services unit is the perfect place for you to grow and excel.

• Participate in customer discussions to gather and analyze system requirements for performance, security and scalability.
• Provide suggestions on solution architecture, contribute to tech framework development, support enterprise architecture definition, and drive design creation
• Identify suitable technologies and tools available in the market, and perform a comparative analysis in line with client's business requirement, thereby identifying optimal architectural solution options
• Participate in developing integration strategies based on validation of proof of concept of proposed architectural solutions
• Facilitate a smooth transition by ensuring knowledge transfer and adherence to quality standards, while contributing to the build and deployment automation strategy
• Collaborate with development teams to resolve complex technical issues using solution deployment and roll out methods, during build, deployment and support phases
• Analyze system performance basis architectural solutions implemented and support in identifying potential risks in the system landscape
• Create artifacts of architectural frameworks and technical solutions, thereby enriching team's knowledge repository

• The ability to analyse, design, and develop scalable and secure architectures.
• A knack for assessing multiple technologies, tools and frameworks to recommend optimal solutions.
• Understanding of integration methodologies, proof-of-concept validation and deployment strategies.
• The ability to document architectural frameworks and solutions.
• Proactive communication with internal teams and clients, ensuring alignment with business objectives.
• A knack to keep with up technical advancements to ensure relevant and effective recommendations.
• The ability to maintain standards and ensure smooth transition through knowledge transfer

• Experience in AWS Data Platform Architecture – Redesign and modernization of reporting/data warehouse platforms on AWS.
• Experience in AWS Glue & ETL Engineering – Designing scalable ETL/ELT pipelines using AWS Glue, PySpark, and Python.
• Experience in Data Warehouse Design – Dimensional modeling, star/snowflake schemas, reporting database optimization, and performance tuning.
• Experience in Amazon Redshift & S3 – Expertise in cloud-native analytics and data lake architectures.
• Experience in Semantic Layer Design – Building business-friendly semantic models for reporting and self-service analytics.
• Experience level : 12-15 year’s of experience (STA / Tech Architect)

• Experience in Advanced SQL & Data Modeling – Data integration, transformation, reconciliation, and governance.

• Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
• This position may require relocation and/or travel to work/project…