SLC Technical Consultant

Siemens is a leading global software company dedicated to the world of computer aided design, 3D modeling and simulation— helping innovative global manufacturers design better products, faster! With the resources of a large company, and the energy of a software start-up, we have fun together while creating a world class software portfolio. Our culture encourages creativity, welcomes fresh thinking, and focuses on growth, so our people, our business, and our customers can achieve their full potential. 

RapidMiner SLC provides a replacement for SAS language that allows SAS customers to move to a flexible, modern analytics platform with minimal business impact. SLC runs programs written in SAS language and provides a visual workflow development environment as well. It also supports Python, R, and SQL, and allows combining code written in any of these languages — making it the perfect way to facilitate major modernization projects as well as maintain libraries of Base SAS language programs at reduced cost. 

Siemens Digital Industries Software (DISW) has recently split its global services delivery model into zones, and with change comes opportunity! We are seeking a highly motivated individual for Technical Consultant position to deliver services in the Americas for the SLC product. The SLC Technical Consultant is a hands-on role who will ramp up to become proficient in all aspects of an SLC migration project. 

Ideal Candidate: 

The ideal candidate will have strong hands-on experience in SAS programming, including DATA step, DS2, and a wide range of SAS procedures, with a focus on writing, analyzing, and optimizing SAS code for data processing and analytics. The candidate should have a good understanding of SAS enterprise architecture including SAS GRID and be proficient with SAS Enterprise Guide and SAS Studio. 

Candidates should be comfortable working with large datasets, understanding existing SAS code bases, and supporting modernization or migration initiatives from a code and data perspective. 

 Responsibilities: 

• Perform discovery with customers to understand their existing SAS environment with the key goal of determining migration feasibility 

• Analysis of existing SAS programs, working with Product Development and Data Science teams to determine effort/duration requirements for any custom development 

• 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: 

• 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 teams when required to oversee deployment of maintenance builds/bug fixes 

• Document findings, assumptions, and best practices for code migration and transformation 

• Travel to client locations on an infrequent but as-needed basis 

Qualifications: 

• 7+ years of hands-on SAS programming experience, with strong proficiency in:  

• DATA Step and DS2 

• Core and advanced PROC usage 

• Data manipulation, transformation, and performance tuning 

• SAS Enterprise Guide 

• SAS Studio 

• Solid understanding of data structures, data processing, and analytics workflows 

• Experience working with complex SAS code bases including debugging and optimization 

• Proficient in SQL and data querying techniques 

• Strong analytical and problem-solving skills, with ability to translate business requirements into efficient SAS solutions 

• Excellent documentation and presentation skills 

• Knowledge of SLC supported platforms: Linux, AIX, MacOS and Solaris 

• Experience with Cloud Computing technologies such as AWS/Azure/GCP/OCI 

Nice to Have: 

• Experience with modern analytics or data processing languages (e.g., Python, R) 

• Familiarity with containerization tools (Docker/Kubernetes) 

• Knowledge of SAS on Mainframe z/OS and zLinux