About the Role
We are seeking a Senior Data Platform Engineer with extensive hands-on experience to build and scale enterprise-grade data pipelines on Azure and Databricks. This role requires deep technical expertise, strong ownership, and the ability to independently deliver complex, production-ready data solutions while setting engineering best practices.
What You'll Do
• Build scalable pipelines using Databricks (DLT, Autoloader, Workflows) and Azure services
• Extend metadata-driven ingestion frameworks (declarative, reusable)
• Develop modular PySpark code and libraries (WHL packaging)
• Implement Delta Lake patterns (CDC, SCD Type 2, merges)
• Optimize SQL workloads for performance and cost
• Orchestrate pipelines via Synapse or UC4
• Apply data modeling (Kimball, 3NF, lakehouse)
• Implement CI/CD with Azure DevOps
• Enforce governance via Unity Catalog
• Mentor engineers and contribute to engineering standards
Required Technical Skills & Proficiency Category Technology / Skill Required Proficiency
Cloud Platform Azure (ADLS Gen2, Key Vault, Azure SQL, Entra ID) Advanced (Deep hands-on, production-scale design & troubleshooting)
Navigating Change. Powering Progress. | Reimagining the Future with Birlasoft
Birlasoft, a powerhouse where domain expertise, enterprise solutions, and digital technologies converge to redefine business processes. We take pride in our consultative and design thinking approach, driving societal progress by enabling our customers to run businesses with unmatched efficiency and innovation. As part of the CKA Birla Group, a multibillion-dollar enterprise, we boast a 12,000+ professional team committed to upholding the Group's 170-year legacy. Our core values prioritize Diversity, Equity, and Inclusion (DEI) initiatives, along with Corporate Social Responsibility (CSR) activities, demonstrating our dedication to building inclusive and sustainable communities. Join us in shaping a future where technology seamlessly aligns with purpose.
For further information, visit www.birlasoft.com
