Senior Software Engineer

Position Summary: We are looking for a Senior Software Engineer with an experience in Data Engineering or Data Platform development with a mindset to design scalable, production-grade systems. This role requires both deep technical ability and leadership - someone who can architect solutions, contribute to development, and mentor team members. Location: Hybrid, Pune Responsibilities Design and build scalable data platforms, ingestion frameworks, and analytics solutions. Architect end-to-end data solutions spanning ingestion, transformation, storage, and presentation layers. Develop and optimize ETL/ELT pipelines using Databricks, Spark, and cloud-native technologies. Design and implement Lakehouse architectures and data models following Medallion principles. Collaborate with product, engineering, and analytics teams to deliver data-driven capabilities. Drive architecture discussions and ensure scalability, reliability, security, and cost efficiency. Implement data governance, RBAC, RLS, CLS, data quality, and security best practices. Review designs and code, maintain engineering standards, and mentor junior engineers. Enable AI-driven insights by building data foundations and integrating AI capabilities into the platform. Qualifications 8+ years of experience in Data Engineering or Data Platform development. Strong hands-on experience with Databricks, Apache Spark, Python, and SQL. Experience designing and implementing modern Lakehouse architectures and Medallion data models. Strong understanding of distributed data processing, data modeling, partitioning, and performance optimization. Experience building batch and streaming data pipelines at scale. Experience with Azure data services and cloud-agnostic data platforms. Strong knowledge of data governance, security, lineage, RBAC, RLS, and CLS frameworks. Experience designing enterprise-scale analytics and data platforms. Experience leveraging Databricks AI capabilities or similar platforms to build AI-powered insights and intelligent data solutions. Strong problem-solving, system design, and technical leadership skills. Good to Have Experience with Apache Iceberg, Delta Lake, or open table formats. Experience with Azure Data Factory, Event Hub, Kafka, or real-time data processing. Familiarity with CI/CD, Infrastructure as Code, and DevOps practices. Experience with data observability, monitoring, and metadata management tools. Exposure to AI/ML feature engineering and GenAI-powered analytics solutions.