Technical Architect

Role overview

Technical Architect at Mphasis

SAS Discovery & Assessment Analyse SAS estate and identify dependencies, business logic and migration complexity.

The role covers discovery, migration, validation, optimisation and production deployment of SAS workloads onto Databricks.

Responsibilities

• Inventory SAS jobs, datasets, macros and interfaces.
• Classify workloads for retire, refactor, re-engineer or migrate.
• SAS to Databricks Migration Convert SAS code to PySpark/Spark SQL.
• Re-engineer legacy SAS processing into scalable Databricks solutions.
• Develop Delta Lake pipelines and Databricks workflows.
• Support automated conversion and manual remediation where required.
• Validation & Reconciliation Compare SAS and Databricks outputs.
• Build automated reconciliation frameworks.
• Perform record count, aggregation and business logic validation.
• Support UAT and business sign-off.
• Architecture & Engineering Design Databricks Lakehouse solutions.
• Implement governance using Unity Catalog.
• Optimise performance, scalability and cost.
• Support Dev, Test and Production deployments.
• Experience Required 8+ years in Data Engineering / Analytics. 4+ years hands-on Databricks experience. 3+ years working with SAS environments.
• Previous experience in SAS to Databricks , SAS to PySpark or similar data-platform modernisation programs.
• Experience in large enterprise environments involving migration, reconciliation and production cutovers.

Required qualifications

• Core Skills (Must Have) Databricks (Primary Skill) Azure Databricks / Databricks Lakehouse PySpark Spark SQL Python Delta Lake Unity Catalog Databricks Workflows Medallion Architecture (Bronze/Silver/Gold) Performance tuning and optimisation CI/CD and Git-based development Production support and troubleshooting SAS (Strong Working Knowledge) Base SAS SAS DATA Step PROC SQL SAS Macros SAS Enterprise Guide SAS Grid / SAS Viya Batch scheduling and job dependencies SAS datasets, libraries and file processing Understanding of SAS business logic and data lineage

Employment details

• Location: Pune [India]

Additional role details

• Senior Databricks Engineer – SAS Modernisation & Migration Role Summary Looking for a strong Databricks Engineer who understands how SAS platforms work and can modernise SAS workloads into Databricks.
• The individual should be capable of understanding SAS business logic and rebuilding it efficiently using Databricks, PySpark and modern data engineering practices.