Senior Engineering Manager - Data Platform

Senior Engineering Manager - Data Platform Overview Working at Atlassian Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Part of the Plato Data Platform organisation within Atlassian Engineering. Plato builds and operates Atlassian's foundational data platform — high-throughput streaming ingestion and MPP query/serving — that powers analytics and data products across Atlassian. Product Data Platform is the only UGC approved data lake in Atlassian. We are the data source behind myriad of use-cases from in-product analytics (Jira/JSM/Confluence and more..), Atlassian Analytics for enterprise data warehouse use-case, ML usecases, Atlassian Twg and Rovo, and the list goes on. We are hiring Engineering Managers to lead within Plato Data Platform . There are two leadership areas: Ingestion (Flink-based streaming pipelines) and Consumption (StarRocks-based MPP query/serving). This is a full-lifecycle platform team responsible for the reliability, performance, cost and scale of critical data infrastructure. Responsibilities Lead a team at the core of Atlassian's data strategy. Deep technical challenges around throughput, latency, cost and reliability at massive scale, with a mandate to grow and shape the team. Qualifications At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. We follow consistent hiring practices and account for each candidate's skills, knowledge, and experience when setting base pay within the range. This role may also be eligible for benefits, bonuses, commissions, and equity. 10+ years in software engineering with 4+ years managing engineering teams (managing senior ICs and/or managers preferred at M60). Must have led teams building/operating data platform systems in streaming/ingestion ( Flink , or Spark as an alternative) and/or MPP query engines ( StarRocks , or alternatives such as Trino / Apache Pinot / Apache Doris ). Proven track record of operational management of high-scale data platform systems in production — reliability, performance, cost and data-quality/observability. Strong technical depth in distributed systems. kubernetes and large-scale data infrastructure (GCP/AWS). Proven people leadership: hiring, growing, coaching and retaining senior engineers. Benefits & Perks Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit go.atlassian.com/perksandbenefits . About Atlassian At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together. We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines. To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them. To learn more about our culture and hiring process, visit go.atlassian.com/crh . In line with local law, identity verification (which may include use of biometric data) is a condition of employment with Atlassian for employment fraud purposes. Experience Level Senior Level