Migration Lead – SAS to Databricks
Mphasis · New York, New York, United States
FULL TIMEpermanent
Job Description
Role SummaryMigration Lead with strong SAS background to drive an end‑to‑end SAS to Databricks modernization program. The individual will own discovery, migration strategy, execution planning, and governance, working closely with business stakeholders, SAS SMEs, and Databricks engineering teams to ensure functional parity, performance validation, and scalable cloud adoption.
Check out the role overview below If you are confident you have got the right skills and experience, apply today.
Key ResponsibilitiesMigration Leadership & GovernanceLead SAS to Databricks migration initiatives across discovery, PoC, pilot, and production scale phasesAct as the primary migration authority, coordinating between business, data engineering, and platform teamsDefine migration waves, dependency mapping, rollout strategy, and risk mitigation plansSAS Estate Discovery & AssessmentPerform SAS inventory analysis, covering:SAS Base programs, Macros, PROC SQLStatistical / actuarial modelsSAS datasets, external data sources, scheduled jobs, and batch dependenciesIdentify business‑critical logic, regulatory reporting, SLA‑bound workloads, and transformation complexityMigration Strategy & ExecutionDefine target‑state architecture on Databricks (Azure or AWS) aligned with best practicesDrive conversion approaches:SAS → PySpark / Spark SQLHandling SAS quirks, data type handling, null logic, numeric precision, and edge casesOversee implementation across Dev / Test / Prod, including CI/CD and environment promotionValidation & Quality AssuranceEnsure functional equivalence between SAS and Databricks outputs:Record countsAggregations xzbcwsv Statistical results and reportsValidate non‑functional requirements: performance, scalability, cost efficiencyReview data migration quality dashboards / observability and exception reportingStakeholder & Client EngagementWork directly with business custodians of SAS models to ensure no loss of analytical flexibilityPresent migration progress, risks, and outcomes to client leadership and data governance forumsSupport pre‑sales conversations, solution walkthroughs, and scale‑up planning when required
Check out the role overview below If you are confident you have got the right skills and experience, apply today.
Key ResponsibilitiesMigration Leadership & GovernanceLead SAS to Databricks migration initiatives across discovery, PoC, pilot, and production scale phasesAct as the primary migration authority, coordinating between business, data engineering, and platform teamsDefine migration waves, dependency mapping, rollout strategy, and risk mitigation plansSAS Estate Discovery & AssessmentPerform SAS inventory analysis, covering:SAS Base programs, Macros, PROC SQLStatistical / actuarial modelsSAS datasets, external data sources, scheduled jobs, and batch dependenciesIdentify business‑critical logic, regulatory reporting, SLA‑bound workloads, and transformation complexityMigration Strategy & ExecutionDefine target‑state architecture on Databricks (Azure or AWS) aligned with best practicesDrive conversion approaches:SAS → PySpark / Spark SQLHandling SAS quirks, data type handling, null logic, numeric precision, and edge casesOversee implementation across Dev / Test / Prod, including CI/CD and environment promotionValidation & Quality AssuranceEnsure functional equivalence between SAS and Databricks outputs:Record countsAggregations xzbcwsv Statistical results and reportsValidate non‑functional requirements: performance, scalability, cost efficiencyReview data migration quality dashboards / observability and exception reportingStakeholder & Client EngagementWork directly with business custodians of SAS models to ensure no loss of analytical flexibilityPresent migration progress, risks, and outcomes to client leadership and data governance forumsSupport pre‑sales conversations, solution walkthroughs, and scale‑up planning when required
Details
| Company | Mphasis |
| Location | New York, New York, United States |
| Type | FULL TIME |
| Niche | finance |
| Experience | permanent |