Technical Architect
HCLTech
Technical Architect
Mphasis· DirectCore
About this role
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 role covers discovery, migration, validation, optimisation and production deployment of SAS workloads onto Databricks. The individual should be capable of understanding SAS business logic and rebuilding it efficiently using Databricks, PySpark and modern data engineering practices.
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
Key Responsibilities
SAS Discovery & Assessment
- Analyse SAS estate and identify dependencies, business logic and migration complexity.
- 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.
Frequently Asked Questions
Is the salary disclosed for the Technical Architect position at Mphasis?
The salary for this Technical Architect role at Mphasis is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Technical Architect position at Mphasis located?
This Technical Architect role at Mphasis is based in Pune. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Is the Technical Architect role at Mphasis full-time or part-time?
This is listed as a Regular position. It is posted as a Technical Architect role in the DirectCore department at Mphasis.
Which team or department does the Technical Architect at Mphasis belong to?
This Technical Architect position is part of the DirectCore department at Mphasis. See the full job description for more information about the team structure and responsibilities.
How do I apply for the Technical Architect position at Mphasis?
Click the "Apply Now" button on this page. You will be redirected to Mphasis's official application portal hosted on ripplehire where you can submit your application directly.
When was the Technical Architect job at Mphasis posted?
This Technical Architect position at Mphasis was posted on Sep 21, 2026. Apply as soon as possible — early applications are often reviewed first.
Technical Architect
Mphasis
You'll be redirected to Mphasis's official application page on ripplehire.