AWS Lead
Job Overview
We are seeking an experienced AWS Lead to provide technical leadership in the architecture, design, delivery, and continuous improvement of modern data platforms built on Amazon Web Services (AWS).
The role will lead the development of scalable, secure, governed, and cost-efficient cloud data solutions supporting enterprise analytics, business intelligence, data engineering, and, where applicable, AI and machine learning workloads.
The successful candidate will bring extensive experience in data and analytics platforms, combined with strong AWS architecture expertise and the ability to translate business requirements into practical cloud data strategies. The role will work closely with business stakeholders, data engineering and analytics teams, cloud and security specialists, and other technology stakeholders to establish architecture standards, guide delivery, and ensure enterprise-ready solutions.
This is a senior technical leadership position combining cloud architecture, data platform strategy, solution design, delivery oversight, technical governance, stakeholder engagement, and technical mentoring .
Key Responsibilities
AWS Data Platform Architecture & Leadership
- Lead the architecture and design of enterprise-scale modern data platforms using AWS.
- Define scalable architectures covering data lakes, data warehouses, and lakehouse environments based on business and technical requirements.
- Establish reusable architecture patterns and technical standards for data ingestion, integration, modelling, governance, security, and access.
- Provide technical direction to data engineers, developers, consultants, and other delivery teams.
- Review solution designs and implementations to ensure alignment with architecture, security, scalability, performance, and cost requirements.
- Provide technical guidance on AWS service selection and appropriate architecture patterns for different data workloads.
Data Platform Design & Delivery
- Lead the design and implementation of modern data platforms using AWS services such as:
- Amazon S3
- AWS Glue
- Amazon Redshift
- Amazon Athena
- Amazon Kinesis
- Oversee the development of data ingestion, transformation, integration, and analytics pipelines.
- Support appropriate processing patterns across batch, streaming, and near real-time data workloads .
- Enable reliable data consumption for analytics, business intelligence, reporting, and downstream applications.
- Ensure data platform solutions are designed for scalability, reliability, maintainability, and operational readiness.
Data Engineering & Analytics
- Provide technical leadership for the development and optimization of ETL/ELT pipelines.
- Guide the design of data models, schemas, and analytics-ready datasets.
- Apply strong SQL and data modelling practices across enterprise data solutions.
- Establish approaches for data quality, metadata, and lineage.
- Support the architecture and integration of AI/ML and advanced analytics workloads where applicable.
- Ensure data solutions can support evolving business and analytical requirements.
Cloud Security, Governance & Optimization
- Ensure AWS data platforms follow appropriate security and governance practices.
- Apply principles covering IAM, access control, data security, networking, and governance .
- Establish appropriate controls for protecting enterprise data throughout the data lifecycle.
- Drive platform cost optimization and ensure AWS resources are designed and operated efficiently.
- Promote secure-by-design and governance-by-design approaches across data platform implementations.
Platform Operations & Lifecycle Management
- Provide technical oversight for platform monitoring, performance management, and operational stability.
- Establish appropriate practices for platform environment management and lifecycle management.
- Support CI/CD and automated deployment practices for data platform components.
- Identify opportuni