Software Engineering Lead Data Full Stack Platform Lead the design and implementation of scalable data architecture and pipelines for a fullstack platform React Python ensuring seamless integration between ETL processes backend services and frontend data consumption Design and own endtoend data architecture ETL API UI Build and optimize scalable ETL data pipelines Define data models contracts and governance standards Collaborate with frontend React and backend Python teams to enable efficient data consumption Implement data quality validation and monitoring frameworks Ensure performance scalability and cost efficiency of data systems Establish CI CD practices for data pipelines Mentor engineers and drive best practices in data engineering Required Qualifications Bachelors degree in Computer Science Engineering Information Systems or related field 15 years of experience in software data engineering with 5 years in technical leadership roles Strong expertise in data architecture ETL ELT pipelines data modeling and scalable data platforms Experience integrating data pipelines with backend services and frontend applications in fullstack environments Solid handson experience with Python APIs cloud data platforms CI CD and data quality monitoring frameworks Proven leadership experience in mentoring engineers driving standards and delivering enterprisescale engineering solutions Preferred Qualifications Masters degree in a relevant field Experience with Reactbased platforms Azure data ecosystem data governance and platform modernization Experience in global delivery or consultingled engineering environments Cloud and or data engineering certifications Experience Level Senior Level

📌 Software Engineering Lead Data Platform Full Stack (Bengaluru)
🏢 KPMG India Services
📍 Bengaluru