Amit Kumar Gupta — Engineering Manager

As a seasoned Engineering Manager, Data Engineering Practice Lead and Account Head at Sigmoid, I lead the end-to-end delivery of complex data engineering solutions for enterprise clients, with a specialized focus on Databricks technologies. Overseeing a multi-disciplinary organization of 25+ data engineers and 4+ managers, I have driven the strategic development of high-impact data platform products, ensuring alignment with business objectives and platform evolution through a well-defined Center of Excellence (CoE). In my prior experience, I spearheaded the Data Engineering Practice, transforming the data landscape through the implementation of a unified, scalable platform built on Databricks Lakehouse architecture, AWS Glue, and Spark. My leadership was instrumental in designing and deploying a config-driven, domain-centric Databricks DLT framework, enabling fully automated, SLA-bound data pipelines across bronze, silver, and gold layers. This empowered cross-functional teams to rapidly operationalize use cases with real-time streaming capabilities, SCD Type 1 logic, and full observability. Key contributions include: Platform & Engineering Strategy: Defined and executed architectural roadmaps for mission-critical products, ensuring cohesive strategies across technology, resourcing, and business domains. Leadership & Delivery Excellence: Built and led high-performing, agile teams focused on engineering excellence, stakeholder collaboration, and continuous innovation. Lakehouse & Medallion Implementation: Delivered enterprise-scale data lakehouse solutions by integrating disparate data sources. Observability & Optimization: Developed cost-aware dashboards and monitoring tools to track SLA adherence, data health, and resource consumption. Led initiatives that significantly optimized job latencies and compute usage. Best Practices & Risk Management: Established scalable standards for pipeline development, schema enforcement, and production reliability. Anticipated and mitigated risks through robust engineering practices. Innovation Leadership: Actively contributed to innovation-driven programs, including Databricks hackathons, where I led the creation of advanced time-series analytics solutions. By combining technical depth with strategic foresight and people-first leadership, I have consistently delivered value through scalable, modern data platforms, ensuring business agility, cost efficiency, and engineering maturity across cloud-native and hybrid ecosystems.

Stackforce AI infers this person is a Data Engineering leader specializing in enterprise-scale solutions.

Location: Bengaluru, Karnataka, India

Experience: 13 yrs 1 mo