About the Role:We are looking for a Product Engineering Manager with a robust background in Data Product Engineering to lead the design, development, deployment, and evolution of enterprise-scale data products and platforms. The ideal candidate combines hands-on data engineering expertise with product lifecycle ownership and engineering leadership, along with experience in full-stack development, including React.Key Responsibilities:- Own the end-to-end lifecycle of data products, from product requirements and architecture to development, deployment, production support, and continuous enhancement.- Lead the engineering of scalable data products, data platforms, pipelines, APIs, and reusable data services.- Translate business and product requirements into technical architectures, engineering roadmaps, and scalable solutions.- Drive full-stack development for data products, including React-based user interfaces and backend services/API integrations.- Establish engineering standards for architecture, code quality, CI/CD, automated testing, deployment, data quality, monitoring, and observability.- Ensure data products meet requirements for scalability, reliability, performance, maintainability, and enterprise integration.- Manage engineering delivery, including planning, prioritization, resource allocation, timelines, risks, and quality.- Lead, mentor, and develop a team of 10+ engineers across data engineering, frontend, backend, and platform engineering.- Collaborate with Product Management, architects, data engineers, data scientists, and customers to define product capabilities and deliver measurable business outcomes.- Drive continuous improvement in engineering practices, team capabilities,



and product delivery.Qualifications:- 12+ years of experience in Data Product Engineering, Data Platform Engineering, or related data-intensive product development.- Demonstrated experience building and owning enterprise-scale data products throughout their lifecycle.- Strong foundation in data engineering, including data pipelines, integration, distributed processing, data modelling, and modern data architectures.- Experience leading and mentoring engineering teams of 10+ members.- Hands-on experience with React and integrating frontend applications with backend APIs and data services.- Strong understanding of distributed systems, databases, cloud platforms, and software engineering principles.- Experience with AWS, Azure, or GCP.- Practical knowledge of CI/CD, automated testing, deployment automation, production support, and observability.- Proven ability to make technical architecture decisions while balancing product priorities, technical debt, quality, and delivery.Preferred Qualifications:- Experience developing enterprise data products, shared data platforms, reusable data services, or self-service data capabilities.- Experience with Apache Spark, Databricks, Snowflake, or similar data technologies.- Familiarity with React component architecture, API-driven applications, and frontend/backend integration.- Experience with data orchestration, pipeline monitoring, data quality, and data observability.- Exposure to cloud-native architectures, infrastructure automation, and Agile product delivery.- Experience with Hadoop ecosystem technologies such as HDFS, MapReduce, Oozie, Hive, Impala, Spark, Kerberos, or Kafka. (ref:hirist.tech)

📌 Sigmoid - Product Engineering Manager - Data Products & Platforms (Bengaluru)
🏢 Astar Data
📍 Bengaluru