Senior Data Engineer

Overview

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.

To help our teams work together effectively, this role is fully remote, but requires you to be located in India.

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 data 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.

• Own the technical evolution of the data engineering capabilities and be responsible for ensuring that solutions are being delivered incrementally, meeting outcomes, and promptly escalating risks and issues
• Establish a deep understanding of how things work in data engineering, use this to direct and coordinate the technical aspects, and improve the productivity of work across the team.
• Maintain a high bar for operational data quality and proactively address performance, scale, complexity, and data security considerations.
• Drive and implement complex decisions that can impact the work of the team. Set the technical direction and balance customer and business needs with long-term maintainability & scale.
• Understand and define the problem space, and architect solutions. Coordinate with junior members of the team towards implementing them, unblocking them along the way if necessary.
• Lead project delivery through mentoring and coaching, work closely with the engineering manager, and provide consistent feedback for the junior members of the team to help them manage and grow.
• Contribute to improving organizational processes that scale Atlassian.

• 9+ years of professional experience as a Data Engineer or in a similar role.
• Strong programming skills using Python or Java.
• Working knowledge of relational databases and query authoring via SQL.
• Experience designing data models for optimal storage and retrieval to meet product and business requirements.
• Experience building scalable data pipelines using Spark (SparkSQL) with Airflow scheduler/executor framework or similar scheduling tools.
• Experience building real-time data pipelines using a micro-services architecture.
• Experience working with AWS data services or similar Apache projects (Spark, Flink, Hive, and Kafka).
• Understanding of Data Engineering tools/frameworks and standards to improve the productivity and quality of output for Data Engineers across the team.
• Well-versed in modern software development practices (Agile, TDD, CICD).