Atlassian is looking for a Principal Data Engineer to join our Go-To Market Data Engineering (GTM-DE) team which is responsible for building our data lake, maintaining our big data pipelines / services and facilitating the movement of billions of messages each day. We work directly with business teams and plenty of platform and engineering teams to ensure growth and retention strategies at Atlassian. We do this by providing metrics and other data elements which are reliable and trustworthy, as well as services and data products to help teams better self serve and improve their time to reliable insights. We are looking for an open-minded, structured thinker who is passionate about building data products that scale. You will be reporting into the Senior Data Engineering Manager.

　　Compensation

　　At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. To support this goal, the baseline of our range is higher than that of the typical market range, but in turn we expect to hire most candidates near this baseline. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience. In the United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are:

　　Zone A: $203,300 - $271,000

　　Zone B: $183,000 - $243,900

　　Zone C: $168,700 - $225,000

　　This role may also be eligible for benefits, bonuses, commissions, and equity.

　　Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.

　　What you'll do

　　As a principal data engineer in the GTM-DE team, you will have the opportunity to apply your strong technical experience building highly reliable data products. You enjoy working in an agile environment. You are able to take vague requirements and transform them into solid solutions. You are motivated by solving challenging problems, where creativity is as crucial as your ability to write code and test cases.

　　We are seeking a strategic and innovative Principal Data Engineer to define the roadmap and drive improvements and optimization of our GTM data landscape. You'll be responsible for gathering requirements from our internal stakeholders, benchmarking with peer companies on best practices and new advancements in tech and data, research industry trends to understand what customers expect from world-class data engineering teams and develop data driven recommendations to inform existing business process improvements and long term business strategies.

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

　　At least 12+ years of professional experience as a software engineer or data engineerA BS in Computer Science or equivalent experienceStrong programming skills (some combination of Python, Java, and Scala)7+ years of experience working with varied forms of data infrastructure and building scalable data pipelines5+ years of 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 lead Atlassian's business growth and improve the product experience.Worked closely Data Science and Machine Learning teams with deep understanding of data challenges at scale challenges.Great communication skill and maintain many of the essential cross-team and cross-functional relationships necessary for the team's success.An open mind to try solutions that may seem impossible at first

　　We'd be super excited if you have

　　Experience building self-service tooling and platformsDesigned and implemented OLAP (Online Analytical Processing) to power real-time analytics.Built real-time data processing pipelines using Apache Spark Streaming/ Databricks and is well-versed with their APIs.Develop and implement data governance procedures to ensure data security, privacy, and compliance.Above all else, as a Principal Data Engineer, you will lead large programs, driving architectural decisions, and incorporating business and technology strategies. You will mentor junior members of the team and help onboard and grow the team.