Principal Data Engineer

Analytics & Data Science | San Francisco, United States | Remote, Remote | Full-Time Atlassians can choose where they work - whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company. 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 stakeholders and plenty of platform and engineering teams to enable growth and retention strategies at Atlassian. We are looking for an open-minded, structured thinker who is passionate about building services that scale. On a typical day you will help our stakeholder teams ingest data faster into our data lake, find ways to make our data pipelines more efficient, and come up with ideas to help instigate self-serve data engineering within the company. You will also build micro-services, architect, design, and enable self-serve capabilities at scale to help Atlassian grow. As a Principal Data Engineer in the GTM-DE team, you will have the opportunity to apply your strong technical experience building highly reliable services on managing and orchestrating a multi-petabyte scale data lake. You enjoy working in a fast-paced environment and 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. On your first day, we'll expect: You have 12+ years of experience in a Data Engineer role as an individual contributor. You have at least 2 years of experience as a tech lead for a Data Engineering team. You are an engineer with a track record of driving and delivering large (multi-person or multi-team) and complex efforts. You are a great communicator and maintain essential cross-team and cross-functional relationships necessary for the team's success. Experience with building streaming pipelines with a micro-services architecture for low-latency analytics. 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 with 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 are well-versed with their APIs. 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: $163,400 - $217,800 Zone B: $147,000 - $196,000 Zone C: $135,600 - $180,800 This role may also be eligible for benefits, bonuses, commissions, and equity. Atlassian offers a variety of perks and benefits to support you, your family, and to help you engage with your local community. Our offerings include health coverage, paid volunteer days, wellness resources, and more. About Atlassian 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. #J-18808-Ljbffr

Created: 2025-01-14