Senior Data Engineer

Working at Atlassian

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.

Our Product DE organization is looking for a Senior Data Engineer reporting to the Senior Data Engineering Manager. You will be responsible for designing premier data architecture and solutions that drive strategic decision-making. Beyond technical execution, you will collaborate with business stakeholders to translate operational needs into technical requirements and spearhead initiatives to improve overall system efficiency.

In this role, you will:

• Partner across engineering organizations to spearhead and execute high-impact, company-wide initiatives,
• Mentor and upskill junior engineers, fostering a culture of technical excellence and continuous growth.
• Collaborate with leadership, product engineers, program managers, and data scientists to deeply understand and prioritize business data requirements.
• Leverage deep technical expertise to design and architect scalable, high-performance data solutions.
• Develop, launch, and optimize highly efficient, reliable ELT/ETL pipelines capable of processing both large-scale and specialized datasets.
• Intelligently design robust data models optimized for high-speed storage, accessibility, and downstream retrieval.
• Implement and deploy rigorous data quality frameworks to guarantee data accuracy, freshness, and trust.
• Maintain full technical ownership of the end-to-end data engineering lifecycle for your team's solutions.
• Participate in the team's on-call rotation to ensure platform stability and support operational health.
• Partner with software engineering teams to design and build next-generation data systems that enable rapid, self-service data consumption.

• A BE in Computer Science or equivalent with 6+ years of professional experience as a Data Engineer or in a similar role
• Experience building scalable data pipelines in Spark using Airflow scheduler/executor framework or similar scheduling tools.
• Experience with Databricks and its APIs.
• Experience with modern databases (Redshift, Dynamo DB, Mongo DB, Postgres or similar) and data lakes.
• Proficient in one or more programming languages such as Python/Scala and rock-solid SQL skills.
• Champion automated builds and deployments using CICD tools like Bitbucket, Git
• Experience working with large-scale, high-performance data processing systems (batch and streaming)
• Experience working for SAAS companies
• Experience with Machine Learning
• Committed code to open source projects
• Experience building self-service tooling and platforms