Position Overview
Industry Platforms & Systems Integration (IP&SI) is trusted delivery practise - bringing together platform expertise, systems integration, modern data foundations, and security-by-design to help clients deliver change faster, with confidence. We connect trusted data, modernise core platforms, and uplift capability to reduce cost and risk while enabling resilient, artificial intelligence (AI)-ready operations.
The Modern Data Platform (MDP) AWS Architect / Consultant / Developer is responsible for designing, building, and operating modern analytics and data platforms on Amazon Web Services (AWS). The role enables organizations to deliver scalable, secure, and cost-efficient data solutions that support analytics, reporting, data engineering, and AI/ML use cases.
Depending on experience and seniority, the role may focus on hands on development and delivery (Developer / Consultant) or on platform architecture, standards, and data strategy (Architect). The role works closely with business stakeholders, data teams, cloud architects, and security teams to ensure data platforms are governed, performant, and enterprise ready.
Key Responsibilities
Data Platform Design & Delivery
- Design and implement modern data platforms using AWS services such as Amazon S3 (data lake), AWS Glue (data integration), Amazon Redshift, Amazon Athena, and Amazon Kinesis (streaming).
- Build data ingestion, transformation, and analytics pipelines.
- Support batch, streaming, and near real time data processing patterns.
- Enable analytics, BI, and downstream data consumption use cases.
Architecture & Platform Standards (Architect Focus)
- Define Modern Data Platform architecture on AWS.
- Design scalable data lake, lakehouse, and warehouse architectures.
- Establish standards for data ingestion, modeling, governance, and access.
- Ensure alignment with security, IAM, networking, and cost optimization best practices.
- Provide architectural guidance and governance across data delivery teams.
Data Engineering & Analytics
- Develop and optimize ETL/ELT pipelines, data models and schemas, and analytics/reporting datasets.
- Implement data quality, metadata, and lineage practices.
- Support AI/ML and advanced analytics workloads (where applicable).
Operations, Governance & Optimization
- Implement monitoring, performance tuning, and cost controls.
- Apply data security and governance controls aligned with enterprise policies.
- Support environment management, CI/CD, and data platform lifecycle.
- Contribute to platform documentation, standards, and operational runbooks.
Collaboration & Advisory
- Collaborate with business users, analysts, and data scientists.
- Advise stakeholders on AWS data services and design tradeoffs.
- Mentor junior engineers and consultants (Senior / Architect level).
Skills, Experience and Competencies
Technical Skills
- Strong expertise in AWS data and analytics services.
- Experience with data lakes, data warehouses, and lakehouse architectures.
- Strong SQL and data modeling skills.
- Experience with batch and streaming data processing.
- Understanding of data security, IAM, governance, and cost optimization
Experience (Role Level Determination)
MDP AWS Architect
- 10–15+ years of data and analytics experience.
- 7–10+ years designing enterprise scale AWS data platforms.
- Proven experience defining modern data strategies and cloud architectures.
MDP AWS Consultant
- 6–9 years of data and analytics experience.
- 4–6 years delivering modern data platforms on AWS.
- Strong delivery, solution design, and stakeholder engagement skills.
MDP AWS Developer
- 4–6 years of overall data / analytics experience.
- 2–4 years of hands-on experience with AWS data services.
- Strong focus on implementation and development.
