Group Director Software Engineering Data Services

Group Director – Software Engineering (Data Services Platform) Location: Bangalore Experience: 18+ Years About the Role We are looking for a seasoned engineering leader to build and scale enterprise Data Services platforms powering next-generation analytics, AI, and data-driven applications. This role will lead a large engineering organization responsible for Big Data platforms, Data Lake infrastructure, Data Warehousing, and Analytics services operating at exabyte scale across multi-cloud environments. As the engineering leader, you will define the long-term technology vision, drive platform strategy, and lead the development of highly available, scalable, and cost-efficient data platforms. You will work at the intersection of Big Data, distributed systems, cloud platforms, platform engineering, and Generative AI to enable enterprise-wide data capabilities. This is a highly strategic leadership role requiring strong technical depth, organizational leadership, and execution excellence. Key Responsibilities Define and execute the technology vision and roadmap for enterprise Data Services platforms. Build and operate exabyte-scale Data Lake infrastructure across public and private cloud environments. Lead engineering teams responsible for Big Data processing, Data Warehousing, Analytics, and platform services. Drive platform scalability, reliability, performance, security, and operational excellence. Build platforms that enable Data Engineering, Data Science, Machine Learning, and Business Analytics teams. Lead large-scale platform modernization and consolidation initiatives. Establish engineering best practices for architecture, observability, automation, resiliency, and service reliability. Drive infrastructure cost optimization and platform performance improvements. Define engineering metrics around availability, incident management, utilization, security, and operational health. Lead complex cross-functional programs and multi-year strategic initiatives. Hire, mentor, and develop high-performing engineering leaders and teams while building a strong leadership pipeline. Partner closely with Product, Architecture, Infrastructure, Security, and Business stakeholders to deliver enterprise-scale solutions. Foster a culture of innovation, ownership, engineering excellence, and continuous improvement. Required Qualifications 18+ years of software engineering experience with significant experience leading large engineering organizations. Strong expertise in designing and operating enterprise-scale Data Lake and Big Data platforms. Deep knowledge of distributed data processing technologies including: Apache Spark Hadoop Apache Iceberg Apache Hudi Hive Apache Ranger Experience with enterprise Data Warehousing platforms such as BigQuery, Trino, or similar technologies. Strong understanding of cloud-native data platforms across Google Cloud, Azure, and/or private cloud environments. Experience operating mission-critical platforms with high availability, scalability, reliability, and cost efficiency. Proven experience driving infrastructure optimization, performance tuning, and capacity planning. Strong program management skills with experience leading large cross-functional initiatives. Demonstrated success building and scaling high-performing engineering organizations. Excellent stakeholder management and executive communication skills. Preferred Qualifications Experience building AI-ready or GenAI-enabled data platforms. Exposure to modern data architectures, platform engineering, and cloud-native ecosystems. Experience leading platform transformation initiatives at enterprise scale. Strong understanding of data governance, security, observability, and operational excellence. Leadership Expectations Inspire and lead high-performing engineering teams. Drive innovation while maintaining operational excellence. Foster a culture of ownership, collaboration, inclusion, and continuous learning. Make strategic technology decisions balancing scalability, reliability, speed, and cost. Deliver measurable business impact through engineering excellence and platform innovation. If you are passionate about building world-class data platforms at massive scale and leading engineering organizations that power enterprise-wide data and AI capabilities, we'd love to connect with you.