Ignite 33

Ignite 33

SAS to Python / R Migration Architect

Suitland-Silver Hill, Maryland, United States

Sponsorship not specifiedDetected 180 days ago
PythonSQLAWSGCPAzureCI/CDscikit-learnPandasNumPySASLeadership

About the role

  • This role focuses on assessment, architecture, standards, risk management, and validation, working closely with stakeholders and development teams to ensure accuracy, performance, and regulatory fidelity.
  • This is a hands-on technical leadership role, not just documentation or oversight.

Responsibilities

  • Lead enterprise-scale migrations from SAS (Base SAS, PROC SQL, STAT, ETS, MACRO, etc.) to Python and/or R Perform detailed SAS estate assessments, including: Code inventory and dependency mapping Macro complexity analysis Data access patterns (SAS datasets, DBs, flat files) Statistical method equivalency analysis Define target-state architecture for Python/R analytics platforms (libraries, frameworks, environments) Establish migration patterns and standards, including: SAS PROC → Python/R library mappings Macro-to-function translation strategies Reusable templates and shared components Design validation and reconciliation frameworks to ensure: Statistical equivalence Numeric tolerances Regulatory and audit compliance Guide performance optimization strategies for large datasets Identify automation opportunities (code scanners, translators, test harnesses) Lead technical reviews and approve migrated code Mentor developers and review complex conversions Communicate migration risks, tradeoffs, and timelines to leadership

Skills

  • Establish migration patterns and standards, including:
  • SAS PROC → Python/R library mappings Macro-to-function translation strategies Reusable templates and shared components

Benefits

  • 401(k) 401(k) matching Dental insurance Flexible spending account Health insurance Life insurance Paid time off Professional development assistance Referral program Tuition reimbursement Vision insurance

This listing is sourced directly from Ignite 33's careers page and normalized into a canonical job model.