SAS to Python / R Migration Architect
Ignite IT
Job Description
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, GCP)
- 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
Vacancy posted 19 days ago
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