Manager 3, Software Development

Overview
We are seeking a Group Engineering Manager to lead the evolution of our Business Intelligence platform, responsible for scaling Intuits reporting and insights infrastructure to meet the growing demands of mid-market and enterprise customers This role requires deep architectural thinking, people leadership, and cross-functional execution at scaleYou will lead a team of 15+ engineers across backend, data platform, and analytics domains, and partner closely with Data Engineering, PMs, AI teams, and vertical product teams (VPTs) Your mission is to re-architect the core data store and backend services, moving from a monolithic design to a modern, scalable polyglot data platform that enables real-time, intelligent BI experiences, What you'll bring 12+ years of engineering experience, with at least 3+ years in engineering management roles, Proven success leading large-scale platform or infrastructure teams delivering backend and data-intensive systems, Deep experience in re-architecting legacy systems, building modular and scalable architectures, and leading polyglot persistence strategies, Hands-on experience with stream processing (Flink/Spark), polyglot storage (OLAP, NoSQL, key-value, etc), and real-time data delivery pipelines, Strong technical acumen in backend service design, data access optimization, and developer productivity tooling, Skilled in navigating complex cross-org programs and driving alignment across multiple stakeholders, Excellent communication, collaboration, and organizational influence skills, Passion for coaching and growing high-performing engineering teams, How you will lead Lead and mentor a team of 15+ engineers across backend and data engineering, fostering a high-performance, inclusive culture, Drive the complete re-architecture of the BI backend, transitioning to a modular, polyglot persistence model tailored for high-scale reporting and insights, Partner cross-functionally with Data Engineering, PM, AI, Infrastructure, and VPTs to align roadmaps and unlock platform capabilities, Own the delivery of core platform services, including ingestion, transformation, analytics APIs, and real-time insight delivery, Set strategic direction for data storage systems (OLAP, NoSQL, time-series, key-value), stream processing, and intelligent data access layers, Ensure world-class operational excellence through SLAs, observability, reliability, and platform performance, Influence long-term platform architecture and investment planning, balancing near-term delivery with future scalability, Advocate for engineering best practices and partner in hiring, org design, and career growth of engineering talent, Show