Overview
As a SAS SME, you lead technical direction in a major cloud migration for analytics workloads. You work with architects, engineers, and delivery teams to re-platform SAS assets on a cloud data platform while preserving data integrity and continuity. You translate complex requirements into design and guide implementation and knowledge transfer. This role sits in the Data Analytics & AI Practice, supporting a sector-wide cloud transformation agenda. You will shape migration strategies and enable sustainable, scalable analytics capabilities.
Pay / Benefits
- 25 days paid leave + National Holidays
- Pension Scheme – contributions matched up to 10%
- Private Medical Cover
- Income Protection
- Life Assurance
- Flex Benefits Program
Responsibilities
- Provide expert guidance on SAS architecture, data flows, platform design, and cloud re-platforming approaches
- Define and assure the SAS migration, validation, and reconciliation strategy alongside data engineering and architecture teams
- Support the development of High-Level Designs (HLDs), Low-Level Designs (LLDs), technical documentation, and knowledge articles
- Ensure SAS data integrity throughout migration, testing, validation, and dual-running activities
- Mentor and support SAS Engineers and implementation teams throughout the delivery lifecycle
Key requirements
- Extensive experience as a SAS Subject Matter Expert, including SAS architecture, administration, and analytics platforms
- Strong understanding of ETL processes, data integration, and data flow architecture
- Proven experience leading data migration, reconciliation, and validation activities
- Experience supporting cloud migration or re-platforming initiatives involving analytics and reporting workloads
- Excellent stakeholder engagement and knowledge-transfer skills
- Stakeholder engagement
- Mentoring and knowledge transfer
- Communication and collaboration
- SAS architecture, administration, and analytics platforms
- ETL, data integration, data flow architecture
- Data migration, reconciliation, and validation
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