Senior Engineering Manager - Data Platform

About the Position

We are seeking a Senior Engineering Manager to lead the team, technical direction, architectural evolution, and operational excellence of Atlassian's foundational data platform. Our platform powers the data behind critical experiences across the company-from rich in-product analytics in Jira, JSM, and Confluence, to dedicated solutions like Atlassian Analytics, the Teamwork Graph (TWG), and AI-native capabilities like Rovo. In this high-leverage, cross-organizational role, you and your team's decisions will directly shape how hundreds of thousands of organizations explore, understand, and act on their data.

We seek leaders who are eager to shape the future and believe in the power of collaboration to achieve extraordinary results together.

Responsibilities

• Lead, grow, and retain a high-performing team of engineers building and operating Atlassian's data platform (streaming ingestion on Flink and/or MPP query/serving on StarRocks).
• Own the technical direction, architecture, and roadmap for your area, partnering with senior ICs on the largest and most complex problems from design to launch.
• Drive operational excellence for high-scale data platform systems in production-reliability, SLOs, on-call, performance, cost, and data quality/observability.
• Deliver platform capabilities that are consumed by other teams and products across Atlassian.
• Partner across engineering teams to take on company-wide initiatives spanning multiple projects and organizations.
• Hire, coach, and develop engineers; set clear expectations, give meaningful feedback, and grow the next generation of technical leaders.
• Set the standard for engineering quality-thorough code reviews, sound architecture, and strong documentation.
• Manage delivery: planning, prioritization, execution, and stakeholder communication across a full-lifecycle platform team.

Requirements

• 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.

We Offer

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 the Company

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.