Lead Solution Architect - Data
Summary
A senior enterprise architect role leading data modernisation engagements for banks and large enterprises: assessing legacy data platforms, defining target-state AWS-based architectures (lakehouse, streaming, analytics, AI), setting governance frameworks, and driving migrations from strategy through delivery governance.
Do you have the depth to architect enterprise data estates that span decades-old legacy platforms and the latest cloud-native services?
Have you guided large financial institutions through complex data platform modernisation, from strategy through to delivery?
Are you ready to be the trusted enterprise architect who shapes the data foundations of leading banks and enterprises across the region?
At SoftwareOne, we help organisations transform their data landscape by modernising legacy platforms, enabling cloud adoption, and unlocking the value of data, analytics, and AI. We are looking for a Senior Enterprise Solution Architect – Data to lead strategic data transformation initiatives, helping customers define future-state architectures and successfully execute complex data modernisation programs.
As a Senior Enterprise Solution Architect – Data, you will own the end-to-end data architecture for some of our most strategic customer engagements. Working closely with executive stakeholders, enterprise architects, delivery teams, and cloud specialists, you will assess existing data estates, define target-state architectures, and lead large-scale transformation initiatives with AWS as the primary cloud platform.
Key responsibilities:
- Leading enterprise data architecture engagements from discovery and assessment through target-state design, roadmap development, and delivery governance.
- Assessing legacy data platforms and defining practical modernization strategies across data warehouses, analytics environments, integration platforms, and reporting ecosystems.
- Designing modern cloud-based data platforms leveraging AWS services and modern data architecture patterns including lakehouse, streaming, analytics, and AI capabilities.
- Defining migration strategies that enable organizations to transition legacy workloads to cloud platforms while minimizing risk and business disruption.
- Establishing data governance, data quality, metadata management, security, compliance, and master data management frameworks across hybrid environments.
- Acting as the senior architecture authority during customer engagements, leading executive workshops, architecture reviews, technical governance activities, and presales initiatives.