Working at Atlassian

Atlassian can hire people in any country where we have a legal entity. Assuming you have eligible working rights and a sufficient time zone overlap with your team, you can choose to work remotely or return to an office as they reopen (unless it’s necessary for your role to be performed in the office). Interviews and onboarding are conducted virtually, a part of being a distributed-first company.

Atlassian is looking for a PrincipalData Engineer to join our Customer Success and Support (CSS) Data Engineering team and build world-class data solutions and applications that power crucial decisions throughout the organization. We are looking for someone who is passionate about building data services that scale.

On your first day, we'll expect you to have

• BS/BA in Computer Science, Engineering, Information Management, or other technical fields, and 15 or more years of data engineering experience
• Experience leading ambiguous and complex data engineering projects.
• High proficiency in technical skills such as SQL, ETL, and Scripting/Programming to solve a wide array of data challenges
• Experience working with varied forms of data infrastructure, including relational databases (e.g. SQL), Spark, and column stores (e.g. Redshift)
• Experience building scalable data pipelines using Spark using Airflow scheduler/executor framework or similar scheduling tools.
• Experience working in a technical environment with the latest technologies like AWS data services (Redshift, Athena, EMR) or similar Apache projects (Spark, Flink, Hive, or Kafka).
• Understanding of Data Engineering tools/frameworks and standards to improve the productivity and quality of output for Data Engineers across the team.
• Industry experience working with large-scale, high-performance data processing systems (batch and streaming) with a "Streaming First" mindset to drive Atlassian's business growth and improve the product experience.

We'd be super excited if you have

• Built and designed Kappa or Lambda architecture data platforms and services.
• Experience implementing Master Data Management (MDM) solutions.
• Built pipelines using Databricks and is well versed with their APIs.
• Above all else, as a Principal Data Engineer, you will own large programs end to end, driving architectural decisions, and incorporating business and technology strategies. You will mentor junior members of the team and help onboard and grow the team.