SAS Tech Lead

Role Summary

• We are seeking an experienced SAS Technical Lead to support a large-scale SAS-to-Snowflake modernization and migration program.
• The ideal candidate should possess deep expertise in Base SAS, SAS Enterprise Guide, SAS Macros, ETL/Data Processing, and enterprise data warehousing concepts, with the ability to analyze complex SAS estates and guide migration teams through discovery, assessment, conversion, validation, and cutover activities.
• The candidate will act as the primary SAS SME, helping define migration strategies, assess workloads, identify dependencies, and ensure successful conversion of SAS assets to Snowflake-based solutions.

Key Responsibilities

• Lead discovery and assessment activities for SAS modernization and migration initiatives.
• Analyze existing SAS landscapes including SAS programs, Enterprise Guide (EGP) projects, macros, datasets, reports, and scheduled jobs.
• Conduct workshops with business and technical stakeholders to understand business processes, reporting requirements, and application dependencies.
• Perform complexity assessment and classification of SAS workloads into migration categories such as Migrate, Refactor, Re-engineer, Archive, or Retire.
• Analyze SAS code, macro frameworks, ETL processes, and data transformations to identify migration approaches and conversion strategies.
• Support Proof of Concept (PoC) activities by selecting representative SAS workloads and validating migration feasibility.
• Provide technical leadership, mentoring, and guidance to development and migration teams throughout the program lifecycle.
• Review converted code, validate business logic, and support production cutover and hypercare activities.

Required Skills

· 8–10 years of hands-on experience in SAS development and data engineering projects.

· Strong expertise in:

• • Base SAS
  • SAS Enterprise Guide (EGP)
  • PROC SQL
  • DATA Step Programming
  • SAS Macros
  • SAS Dataset Management

· Experience analyzing and supporting large SAS application landscapes.

· Strong understanding of Data Warehousing, ETL/ELT, and Data Migration concepts.

· Experience performing application discovery, dependency analysis, and impact assessment.

· Strong SQL skills and understanding of relational database concepts.

· Strong analytical and problem-solving skills with the ability to understand complex business logic embedded within SAS assets.

· Experience working with large data volumes and complex batch processing workflows.

· Excellent communication and stakeholder management skills.