Senior Data Engineer – AWS Cloud Data Platform

We are seeking a highly skilled, hands-on Senior Data Engineer to architect, build, modernise, and manage enterprise-scale data platforms on AWS.

The ideal candidate must have extensive experience in cloud data engineering, Data Lakehouse architecture, enterprise data warehousing, cloud migration, data modelling, distributed data processing, and performance optimisation.

This role requires an engineer who can independently translate complex business requirements into secure, scalable, resilient, and cost-effective data solutions.

The candidate will be responsible for establishing engineering standards, designing reusable data frameworks, implementing governance and data quality controls, and enabling analytics, reporting, AI, and business intelligence use cases across the organisation.

This is not a purely development or support-oriented position.

The successful candidate is expected to demonstrate strong architectural thinking, advanced hands-on engineering capabilities, production troubleshooting skills, and the ability to provide technical leadership across complex enterprise data initiatives.

Experience with Informatica PowerCenter or Informatica Intelligent Cloud Services (IICS) is a strong advantage but is not mandatory.

Key Responsibilities

Enterprise Data Architecture and Strategy


* Design and implement enterprise-scale data architectures aligned with business, analytics, and technology objectives.


* Architect scalable Data Lake, Data Lakehouse, and Enterprise Data Warehouse solutions on AWS.


* Define architecture principles, engineering standards, reusable patterns, and development best practices.


* Design multi-layer data architectures such as Raw, Standardised, Curated, and Consumption layers.


* Evaluate technical requirements and select appropriate AWS services, data formats, processing engines, and orchestration patterns.


* Translate complex business requirements into scalable, maintainable, and production-ready technical solutions.


* Participate in architecture reviews and provide technical direction for data platform initiatives.


* Evaluate emerging data technologies and recommend platform improvements based on business value, scalability, security, and cost.

AWS Data Platform Design and Engineering


* Architect and develop end-to-end data solutions using AWS-native services.


* Build scalable frameworks for batch, near-real-time, event-driven, and streaming data processing.


* Design secure, highly available, fault-tolerant, and cost-optimised cloud data platforms.


* Build metadata-driven and configuration-driven ingestion and transformation frameworks.


* Design solutions for loading data from databases, APIs, files, message queues, SaaS applications, and enterprise platforms.


* Implement orchestration, dependency management, retries, restartability, error handling, and operational recovery capabilities.


* Establish monitoring, alerting, logging,...