Senior Engineering Manager - Data Platform

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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.

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.

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.

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