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We’re looking for a Sr Principal Data Platform Software Engineer (P70) to be a key technical leader in the Product Data Platform org. In this role, you will be joining a strong cross-geo team of engineers to design and operate data platform capabilities that power Atlassian’s product analytics and ML experiences.
Job Responsibility:
Design, develop and own delivery of high quality big data and analytical platform solutions aiming to solve Atlassian’s needs to support millions of users with optimal cost, minimal latency and maximum reliability
Improve and operate large‑scale distributed data systems in the cloud (primarily AWS, with increasing integration with GCP and Kubernetes‑based microservices)
Drive the evolution of our high-performance analytical databases and its integrations with products, cloud infrastructures (AWS and GCP) and isolated cloud environments
Help define and uplift engineering and operational standards for petabyte scale data platforms, with sub‑second analytic queries and multi‑region availability (coding guidelines, code review practices, observability, incident response, SLIs/SLOs)
Partner across multiple product and platform teams (including Analytics, Marketplace/Ecosystem, Core Data Platform, ML Platform, Search, and Oasis/FedRAMP) to deliver company‑wide initiatives that depend on reliable, high‑quality data
Act as a technical mentor and multiplier, raising the bar on design quality, code quality, and operational excellence across the broader team
Design and implement self‑healing, resilient data platforms with strong observability, fault tolerance, and recovery characteristics
Own the long‑term architecture and technical direction of Atlassian’s product data platform with projects that are directly tied to Atlassian’s company-level OKRs
Be accountable for the reliability, cost efficiency, and strategic direction of Atlassian’s product analytical data platform
Partner with executives and influence senior leaders to align engineering efforts with Atlassian’s long-term business objectives
Lead cross-organizational initiatives that have a lasting impact on Atlassian’s growth and innovation
Requirements:
15+ years in Data Engineering, Software Engineering, or related roles, with substantial exposure to big data ecosystems
Demonstrated experience building and operating data platforms or large‑scale data services in production
Proven track record of building services from the ground up (requirements → design → implementation → deployment → ongoing ownership)
Hands‑on experience with AWS, GCP (e.g., compute, storage, data, and streaming services) and cloud‑native architectures
Practical experience with big data technologies, such as Databricks, Apache Spark, AWS EMR, Apache Flink, or StarRocks
Strong programming skills in one or more of: Kotlin, Scala, Java, Python
Experience leading cross‑team technical initiatives and influencing senior stakeholders
Experience mentoring Staff/Principal engineers and lifting the technical bar for a team or org
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience
Nice to have:
Experience with StarRocks or similar MPP/OLAP analytical databases in production
Experience with streaming and batch architectures (e.g., event streams, CDC, real‑time analytics) and when to use each
Familiarity with data lakes and table formats (e.g., Iceberg, Delta Lake) and columnar formats such as Parquet
Exposure to data governance, security, privacy, and compliance (e.g., FedRAMP‑like environments) for large‑scale data platforms
Experience optimizing cost, performance, and reliability for petabyte‑scale data systems
Familiarity with observability tooling (metrics, tracing, logging) for data platforms
Experience contributing to technical strategy and multi‑year roadmaps for data platforms
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