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 PROC SQL DATA Step Programming SAS Macros SAS Dataset Management Experience analysing and supporting

large SAS application landscapes. Robust 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.

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📌 SAS Consultant (Winnipeg)
🏢 TechDoQuest
📍 Winnipeg