Perform discovery with customers to understand their existing SAS environment with the key goal of determining migration feasibility.
Analysis of existing SAS language programs, working with product development and data science teams to determine effort/duration requirements for any custom development.
Analyze existing SAS infrastructure, understand target requirements from customers taking into consideration any modernization needs, and prepare a recommended target architecture.
Determine customer use cases of unsupported language elements and software modules, preparing a ‘route to live’.
Attend customer stand-ups and project review meetings and be the face of Siemens’ RapidMiner SLC.
Technical delivery of migration projects including but not limited to: Deployment and configuration of SLC software in customer environments, Configuration of 3rd party applications/drivers/DBs required by SLC, Train customer system admins on the effective use of SLC/HUB as required, Train customer migration delivery teams on best practices for code migration, Triage technical issues to ensure prompt resolution, working with L2 support, Requirements scoping, defects analysis and working with product management and engineering when required to oversee deployment of maintenance builds/bug fixes, Travel to client locations on an infrequent but as-needed basis.

7+ years of experience with SAS Programming and Platform Administration
Extensive experience with SAS: Enterprise Guide, Enterprise Miner, DI Studio, Metadata Server, GRID, Studio, Object Spawner, Workspace servers, Stored Process servers, SASWORK, User and Security Administration, Configuration and Environment Management, License, Hotfix and Maintenance Management, Backup and Recovery
Experience with Cloud Computing technologies like AWS/Azure/GCP/OCI
Excellent documentation and presentation skills.
Excellent written and spoken English ability.
Knowledge and experience of data architecture, data processing, database systems and analytics
Knowledge of SQL and other business analytics tools and languages
Knowledge of SLC supported platforms: Linux, AIX, MacOS and Solaris
Strong debugging skills

SLC/SAS Solution Architect

Key skills