Job Purpose
Lead the Data Engineering function, owning the design and evolution of the organization's data infrastructure and platform. Drive the delivery of scalable, reliable data pipelines and systems that underpin analytics, data science, and AI capabilities, while developing team capability and aligning engineering strategy with broader business objectives.
Key Result Responsibilities
Define and own the data engineering roadmap, aligning pipeline, platform, and infrastructure strategy with organizational data and AI goals
Architect and oversee the design of scalable, resilient data pipelines, data lakes, and warehouse solutions that meet performance, cost, and governance requirements
Lead end-to-end delivery of complex data engineering initiatives, from requirements through to production
Establish and enforce engineering standards, code quality practices, and data governance frameworks across the team
Evaluate and introduce new tools, frameworks, and cloud-native technologies to continuously improve the data platform
Partner with Data Science and AI teams to ensure data infrastructure is fit for advanced analytics and machine learning workloads
Collaborate with business stakeholders to translate data requirements into robust, reusable engineering solutions
Lead, mentor, and develop a team of data engineers, supporting growth opportunities and building a high-performance engineering culture
Key Result Responsibilities-Continued
Own data platform reliability, monitoring, and incident response; drive root-cause resolution and preventive improvements
Provide direction on data security, access control, and compliance in coordination with relevant governance functions
People Management
Provides direction, coaching and guidance to team members for their career and professional development.
Creates a conducive working environment to build and sustain a performance driven, engaged, and committed team.
Ensures people management responsibilities are handled effectively in
📌 Lead Data Engineer (Pune)
🏢 ISA
📍 Pune