Role Overview
• As a Senior Engineering Manager – Data Engineering, you will play a pivotal role in leading and scaling enterprise data engineering initiatives for large-scale retail and e-commerce platforms. You will be responsible for managing offshore engineering teams across locations while providing strong technical leadership, architectural direction, and delivery oversight.
• The role requires a combination of deep technical expertise in modern data engineering platforms, particularly Databricks and AWS, strong engineering management capabilities, and a solid understanding of retail and e-commerce data ecosystems.
• You will work closely with customer technology leadership, including Data Engineering Directors, Architects, and Product Owners, to define technical direction, drive data platform modernization, establish engineering standards, and deliver scalable, reliable, and cost-efficient data solutions.
• The ideal candidate is a technically strong engineering leader who can move seamlessly between architecture discussions, engineering problem-solving, delivery governance, and stakeholder management. Requirements
• Bachelor's or master’s degree in computer science, Information Technology, Engineering,



or a related discipline.
• 15+ years of overall IT experience, preferably with 5+ years in data engineering leadership or engineering management roles.
• Demonstrated experience managing multiple engineering teams and delivering complex enterprise data engineering programs.
• Strong AWS experience across S3, Glue, Redshift, Lambda, IAM, and streaming services such as Kinesis or MSK. Proficiency in SQL, Python, PySpark, and dbt.
• Robust hands-on expertise in Databricks, including:Lakehouse Architecture and Medallion Architecture. Delta Lake and Delta tables. Unity Catalog and data governance. PySpark and Spark SQL. Databricks Workflows and Jobs. Performance tuning and Spark optimization
• Strong experience in retail, e-commerce, or consumer-facing business domains.
• Understanding of retail data ecosystems, including POS, e-commerce, ERP, CRM, customer loyalty, merchandising, and supply chain.
• Experience building enterprise data platforms supporting high-volume transactions, customer analytics, omnichannel operations, and business intelligence.

📌 Tech Manager Data Engineering (Bengaluru)
🏢 Litmus7
📍 Bengaluru