Senior Engineering Manager, Data Platform

What’s in it for you? Ready to make a serious impact? Millions of people already rely on Nimbus Data Systems , and we’re still in the midst of exciting product growth — it’s a fantastic time to join us. Everything you’ll work on here will accelerate your career to the next level. If you want to learn, grow, and do the best work of your life alongside the best people you’ve ever worked with, then we hope you’ll consider allowing Nimbus Data Systems to be a part of your professional journey. About the team & opportunity What’s so great about working on Nimbus Data Systems ’s Engineering team? We make things possible for our customers through impactful innovation. Why do we need you? We're seeking a Senior Engineering Manager for our Data Platform with deep expertise in people leadership, technical delivery, and organizational development. This role sits at the core of our Data, AI, and Infrastructure organization. Reporting directly to the VP of Data, you'll own the development and expansion of the infrastructure and data platforms that enable all Nimbus Data Systems teams to leverage and rely on trusted data. Your work will enable a best-in-class scheduling experience and help millions of users host better meetings. A day in the life of an Engineering Manager at Nimbus Data Systems As a Senior Manager, Data Platform, you will have the opportunity to lead the strategy, execution, and evolution of Nimbus Data Systems ’s modern data platform. This leader will oversee the systems, architecture, and engineering practices that enable reliable, scalable, secure, and self-service access to data across the company. This is a highly cross-functional leadership role that partners closely with various product Engineering teams, Product management, product Analytics, Security, Infrastructure and AI/ML teams. This position spans Data Engineering and Analytics Engineering functions - maintaining technical excellence and uniformity across our services. Your team will manage our Enterprise Data Warehouse - collecting, processing, and overseeing data that drives analytics, operations, and strategic decisions throughout the organization. In addition to the internal warehouse, you'll also oversee Nimbus Data Systems 's near-real-time data systems that serve millions of users each day. This requires close collaboration with product engineering teams and internal analytics groups to grasp their requirements, explore their specific scenarios, and genuinely comprehend what drives their success. Ideal candidates provide direction amid uncertainty and can independently investigate and identify solutions. If selected for this position, you'll own the mentoring, development, and strategic planning for your team's growth. At Nimbus Data Systems , you'll have the chance to significantly influence the quality and evolution of a product used by millions. On a typical day, you will be working on: Define and execute the long-term strategy for Nimbus Data Systems ’s data platform and ecosystem. Build a scalable, reliable, and cost-efficient platform that supports analytics, experimentation, operational reporting, machine learning, and AI use cases. Drive modernization initiatives across data ingestion, transformation, orchestration, governance, observability, and serving layers. Build internal platform capabilities that empower analysts, data scientists, ML engineers, and product teams. Improve data discoverability, governance, lineage, and quality. Drive adoption of self-service tooling and standardized workflows. Recruit engineers and people leaders to expand both new and existing teams across the organization, with responsibility for all hires joining the squad Address challenges that accelerate progress for the entire engineering organization Guide, develop, and integrate new engineering team members Drive the professional growth, engagement, and performance of engineers on your team Guarantee the systems under your team's ownership are performing effectively, meeting service level commitments, and prepared to scale Anticipate upcoming technical requirements and develop strategies to address them Deliver feedback and direction to support our continuous growth and expansion What do we need from you? 7+ years experience leading a data and analytics engineering teams 10+ years of overall development - especially relating to Data Platforms and Products (SQL, Python, Java, Scala, or strongly typed languages preferred) Strong understanding of Data warehousing, Batch and streaming data pipelines, Data orchestration and workflow management, Data modeling and transformation frameworks, Metadata, lineage, and governance systems, Data observability and reliability practices Ability to balance technical excellence with business outcomes. Strong systems thinking and prioritization skills. Deep proficiency with data application development and building scalable architecture for enterprise grade data warehouses and streaming engines Ability to be a hands on contributor when need be with a focus on enablement Experience planning and leading developmen