Data and Analytics Architect, AWS FinTech

We are seeking an experienced Data and Analytics Architect to join our team. The ideal candidate will be responsible for leading the design, implementation, and support of scalable data and analytics solutions on AWS, enabling trusted reporting, enterprise insights, and seamless integration across enterprise platforms. The primary focus of this role is AWS-based data engineering, analytics architecture, and modern data platform design, with SAP knowledge considered a strong advantage.
Key job responsibilities
* 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.
- 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.
- Knowledge of SAP data and analytics platforms such as SAP S/4HANA, BW, Datasphere, or SAC is good to have.
- Experience with real-time or event-driven data processing patterns.
- Experience with data lake, data warehouse, and hybrid analytics architecture patterns.
- Experience with enterprise reporting, KPI frameworks, and dashboard design.
- Knowledge of finance, supply chain, or enterprise operational reporting domains.
- Experience leading data modernization or cloud transformation initiatives.
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