Data and Analytics Architect, AWS FinTech

 Lead the design, implementation, and support of enterprise data and analytics solutions on AWS.
* Architect scalable data platforms using AWS services such as Amazon Redshift, Amazon S3, AWS Glue, Amazon Athena, Amazon QuickSuite, AWS Lambda, and related AWS data services.
* Define and implement data ingestion, transformation, storage, semantic modeling, reporting, and analytics patterns across structured and semi-structured data sources.
* Design and optimize enterprise data pipelines, batch and near real-time data processing, and reporting architectures.
* Ensure data quality, governance, security, and operational controls are built into the platform architecture.
* Work closely with business, finance, IT, and application teams to design reliable and scalable data solutions aligned with business requirements.
* Develop and maintain architecture standards, design documents, data flow diagrams, and support procedures.
* Monitor data pipelines, analytics platforms, and reporting solutions for failures, performance issues, and data quality concerns, and drive corrective actions.
* Lead implementation, migration, modernization, and enhancement initiatives across data and analytics platforms.
* Support integration with enterprise platforms, including SAP and non-SAP systems where required.

Basic Qualifications

- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- 6+ years of data engineering, database engineering, business intelligence or business analytics experience
- 8+ years of relevant experience in data engineering, analytics, data warehousing, or enterprise data platform implementation and support.
- Experience designing scalable data pipelines and cloud-based analytics solutions across complex enterprise environments.
- Excellent analytical, problem-solving, and stakeholder management skills, with the ability to work independently and as part of a team.