Senior Data Engineer

💼 Role: Senior Data Engineer - Databricks & Azure
📍 Location: India – Remote
🌐 Working model: Remote
We are looking for an experienced Data Engineer to help design, build, and evolve a modern data platform based on Databricks and Microsoft Azure.
This is not only a pipeline-development role. You will work across data ingestion, platform engineering, governance, and Data & AI readiness, collaborating with Cloud, Infrastructure, Security, Networking, Architecture, and Data teams.
What you’ll do
Data Ingestion Engineering
• Design, develop, and maintain scalable Databricks ingestion frameworks
• Build and support Azure Data Factory (ADF) pipelines
• Design reusable ingestion patterns for file-based and other data sources
• Onboard new data sources and ingestion patterns
• Improve reliability, observability, performance, and maintainability of data pipelines
Data Platform Engineering
• Help define and implement capabilities for a scalable, secure, and governed analytical platform
• Collaborate with Cloud, Infrastructure, Security, Networking, and Enterprise Architecture teams
• Support platform architecture and foundational components for analytics, data products, and AI initiatives
• Define and promote engineering standards, reusable components, and best practices
• Automate platform and data-governance processes where possible
Platform Evolution & Innovation
• Evaluate and implement new Databricks capabilities
• Explore and enhance Unity Catalog and data-governance capabilities
• Assess Data Quality Monitoring and data-classification capabilities
• Evaluate data-retention and lifecycle-management approaches
• Prototype new platform, automation, and AI-related capabilities
• Contribute to improving the platform's overall Data & AI readiness
What we look for
✓ Strong hands-on Databricks experience
✓ Strong Microsoft Azure experience
✓ Python / PySpark
✓ SQL
✓ Azure Data Factory
✓ Git and modern development practices
✓ Strong understanding of data engineering best practices
✓ Experience designing production-grade data pipelines and reusable frameworks
✓ Ability to collaborate effectively with cross-functional technical teams
Nice to have
• Unity Catalog and Data Governance experience
• Lakehouse architecture
• Data Quality / Observability
• Data readiness for AI
• Snowflake
• Microsoft Fabric
• Data Mesh concepts
• Data Product operating models

Work arrangement
No