ignite-33 logo

SAS to Python/R Migration Architect

ignite-33Suitland-Silver Hill, Maryland, United States
On-site Full-time

Clicking Apply Now takes you to AutoApply where you can tailor your resume and apply.


Experience Level

Mid to Senior

Qualifications

Requirements8+ years of advanced analytics or statistical programming experience5+ years of hands-on SAS development experience (Base SAS, PROC SQL, MACRO, STAT)Demonstrated success in architecting or leading migrations from SAS to Python and/or RExtensive knowledge in:Python (including NumPy, Pandas, SciPy, statsmodels, scikit-learn)and/or R (including tidyverse, data.table, caret, survival, forecast)Solid understanding of statistical methods equivalency between SAS and open-source toolsExperience with data platforms (SQL databases, cloud storage, data lakes)Familiarity with CI/CD, version control, and testing frameworks for analytics codePreferred QualificationsExperience in regulated environments (government, healthcare, finance)Previous experience modernizing legacy analytics platformsExposure to cloud analytics stacks (AWS, Azure, GCP)Experience designing automated validation frameworks

About the job

The SAS to Python/R Migration Architect plays a pivotal role in orchestrating the complete strategy, design, and governance of extensive analytical and statistical code migrations from SAS to contemporary open-source environments (Python and R). This position emphasizes assessment, architecture, standards, risk management, and validation, collaborating closely with stakeholders and development teams to uphold accuracy, performance, and regulatory compliance.

As a hands-on technical leader, you will be actively involved in the migration process rather than merely overseeing documentation.

Key Responsibilities

  • Steer enterprise-scale migrations from SAS (including Base SAS, PROC SQL, STAT, ETS, MACRO, etc.) to Python and/or R
  • Conduct thorough assessments of existing SAS estates, which encompass:
    • Code inventory and dependency mapping
    • Analysis of macro complexity
    • Evaluation of data access patterns (SAS datasets, databases, flat files)
    • Assessment of statistical method equivalencies
  • Outline the target-state architecture for Python/R analytics platforms (libraries, frameworks, environments)
  • Formulate migration patterns and standards, incorporating:
    • Mappings from SAS PROC to Python/R libraries
    • Strategies for macro-to-function translation
    • Reusable templates and shared components
  • Develop validation and reconciliation frameworks to guarantee:
    • Statistical equivalency
    • Numeric tolerances
    • Compliance with regulatory and audit standards
  • Champion performance optimization strategies for large datasets
  • Identify automation opportunities (including code scanners, translators, test harnesses)
  • Conduct technical reviews and endorse migrated code
  • Mentor developers and oversee complex conversions
  • Communicate migration risks, tradeoffs, and timelines to leadership

About ignite-33

ignite-33 is at the forefront of transforming analytical practices, specializing in guiding organizations through the complexities of migrating from traditional SAS environments to robust open-source platforms. Our commitment to innovation and excellence empowers clients to leverage the full potential of their data.

Similar jobs

Browse all companies, explore by city & role, or SEO search pages.

Tailoring 0 resumes

We'll move completed jobs to Ready to Apply automatically.