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Benefits offered by this job
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
Job summary
A technology consulting firm in Maryland is seeking a SAS to Python/R Migration Architect responsible for the strategy, design, and governance of large-scale analytical code migrations. This technical leadership position involves leading enterprise-scale migrations, defining target-state architectures, and ensuring compliance with regulatory standards. Candidates should have extensive experience in SAS and a deep understanding of Python and/or R, with a focus on mentoring and optimizing performance within complex analytics projects. The role offers a dynamic organizational culture and a comprehensive benefits package.
Qualifications
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 and/or R.
Strong understanding of statistical methods parity between SAS and open-source tools.
Responsibilities
Lead enterprise-scale migrations from SAS to Python and/or R.
Perform detailed SAS estate assessments including code inventory.
Define target-state architecture for Python/R analytics platforms.
Establish migration patterns and standards.
Design validation and reconciliation frameworks for compliance.
R (tidyverse, data.table, caret, survival, forecast)
Statistical methods parity
Automation opportunities identification
Performance optimization strategies
Tools
SQL databases
Cloud storage
Data lakes
Job description
A technology consulting firm in Maryland is seeking a SAS to Python/R Migration Architect responsible for the strategy, design, and governance of large-scale analytical code migrations. This technical leadership position involves leading enterprise-scale migrations, defining target-state architectures, and ensuring compliance with regulatory standards. Candidates should have extensive experience in SAS and a deep understanding of Python and/or R, with a focus on mentoring and optimizing performance within complex analytics projects. The role offers a dynamic organizational culture and a comprehensive benefits package.