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SAS to Python / R Migration Architect

Ignite ITSuitland-Silver Hill, MD🇺🇸United StatesPosted 18 Aug 2026

Why This Role Stands Out

This hybrid role offers an exciting opportunity to lead enterprise-scale migrations, architecting cutting-edge analytics platforms and developing innovative migration strategies. You'll thrive here if you're a hands-on technical leader passionate about transforming complex SAS codebases into modern Python and R ecosystems, driving significant impact and honing your skills in a collaborative environment. Embrace this chance to shape the future of analytics at a reputable company and apply today!

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

The SAS to Python/R Migration Architect is responsible for end-to-end strategy, design, and governance of large-scale analytical and statistical code migrations from SAS to modern open-source ecosystems (Python and R). 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.

Key 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

Requirements
  • 8+ years of advanced analytics or statistical programming experience
  • 5+ years hands-on SAS development (Base SAS, PROC SQL, MACRO, STAT)
  • Proven experience architecting or leading SAS Python and/or R migrations
  • Deep expertise in:
    • Python (NumPy, Pandas, SciPy, statsmodels, scikit-learn)
    • and/or R (tidyverse, data.table, caret, survival, forecast)
  • Strong understanding of statistical methods parity between SAS and open-source tools
  • Experience with data platforms (SQL databases, cloud storage, data lakes)
  • Familiarity with CI/CD, version control, and testing frameworks for analytics code

Nice to Have
  • Experience in regulated environments (government, healthcare, finance)
  • Prior work modernizing legacy analytics platforms
  • Exposure to cloud analytics stacks (AWS, Azure, Google Cloud Platform)
  • Experience designing automated validation frameworks

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

Skills

SQL
AWS
NumPy
SciPy
Scikit-learn
Azure
Compliance
Google Cloud
Pandas
Python
Reconciliation
Risk Management

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