Atlassian is looking for a Senior Data Engineer to join our Data Engineering Team and build world-class data solutions and applications that power crucial business decisions throughout the organization. We are looking for an open minded, structured thinker who is passionate about building systems at scale. You will enable a world-class engineering practice, drive the approach with which we use data, develop backend systems and data models to serve the needs of insights, and play an active role in building Atlassian’s data driven culture. You love thinking about the ways the business can consume data and then figuring out how to build it.
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: $175,100 - $233,400
Zone B: $157,600 - $210,100
Zone C: $145,300 - $193,800
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.
More about the team
The data engineering team is responsible for managing multiple analytical data models and data pipelines all across Atlassian, including finance, growth, product analysis, customer support, sales, marketing, etc. - so there are endless opportunities for growth. We maintain Atlassian's data lake and build creative and reliable analytics data models that provide a unified way of analyzing our customers, our products, our operations and the interactions among them.
You’ll be joining a team that is crazy smart and very direct. We ask hard questions and challenge each other to constantly improve our work. We are self-driven but team oriented. We're all about enabling growth by delivering the right data and insights in the right way to partners across the company.
On a typical day, you may be consulted on the Information Architecture of our Data Lake and help design and/or optimize the event collection infrastructure. You will be working with different stakeholders to understand the business needs and architect/build the data models, data acquisition/ingestion processes and data applications that can help address business needs. You have got industry experience working with large scale, high-performance data processing systems (batch and/or streaming) with “Streaming First” mindset to drive Atlassian’s business growth and improve the product experience. Constantly striving to optimize the data pipelines/infrastructure with the goal of providing data with quality and trust. As the data domain expert, you will be partnering with our Technology Team, Global Analytical Team, and Data Scientists across various initiatives.
You'll own a problem end-to-end, so those skills will come in handy not just to collect, extract, and clean the data, but also to understand the systems that generated it, and automate your analyses and reporting. On an on-going basis, you'll be responsible for improving the data by adding new sources, coding business rules, and producing new metrics that support the business. Requirements will be vague, and Iterations will be rapid. You will need to be nimble and take smart risks. Industry professional with mindset of continued development of data products & digital innovation to meet evolving stakeholder/customer needs in months and years to come.
More about you
As a Sr. Data Engineer, you will have the opportunity to apply your strong technical experience on building analytics data models that supports a broad range of analytical requirements across the company. You will work with extended teams to evolve solutions continuously as business processes and the requirements change. You enjoy working in a fast-paced environment and 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.
On your first day, we'll expect you to have:
A BS in Computer Science or equivalent experience with 5+ years professional experience as a Sr. Data Engineer or in a similar role.
Strong programming skills using Python & Java (good to have).
Experience in designing data models for optimal storage and retrieval to meet critical product and business requirements.
Experience building scalable data pipelines using Spark leveraging Airflow scheduler/executor framework or similar scheduling tools.
Experience working in a technical environment with cutting-edge technologies like AWS data services (Redshift, Athena, EMR) or similar Apache projects (Spark, Flink, Hive, Kafka).
Ability to understand and influence logging to support our data flow, architecting logging framework & best practices where needed.
Understanding of Data Engineering tools/frameworks and standards to improve the productivity and quality of output for Data Engineers across the team.
You’re well versed in modern software development practices (Agile, TDD, CICD) and how they can apply to data engineering.
Improve data quality by using & improving internal tools/framework to automatically detect DQ issues.
Working knowledge of relational databases and query authoring (SQL).
We’d be super excited if you have:
Experience with ML engineering.
Followed a Kappa architecture with any of your previous deployments
Experience working with SaaS company.
Domain knowledge of Order Management, Entitlement, Billing, Financial and People System.
Above all else, as a senior data engineer you will be leading the development process, driving architectural decisions, and incorporating business and technology strategy. You will be earning the trust of other developers in the team and then coaching and influencing them into the right behaviors to build the ultimate analytical data model and pipelines.
#LI-Remote
Our perks & benefits
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 so much more. Visit go.atlassian.com/perksandbenefits to learn 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.
To learn more about our culture and hiring process, visit go.atlassian.com/crh.