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.
Responsibilities
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.
At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. We follow consistent hiring practices and account for each candidate's skills, knowledge, and experience when setting base pay within the range.
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Skills Required
- Bachelor of Engineering in Computer Science or equivalent
- 6+ years of professional experience as a Data Engineer or in a similar role
- Experience building scalable data pipelines using Spark and Airflow or similar scheduling tools
- Experience with Databricks and its APIs
- Experience with modern databases such as Redshift, DynamoDB, MongoDB, PostgreSQL, or similar, plus data lakes
- Proficiency in one or more programming languages such as Python or Scala
- Strong SQL skills
- Experience with CI/CD tools such as Bitbucket and Git
- Experience with large-scale, high-performance batch and streaming data processing systems
- Experience working for SaaS companies
- Experience with machine learning
- Contributions to open source projects
- Experience building self-service tooling and platforms
What the Team is Saying
What We Do
Atlassian creates teamwork solutions for high-performing teams. Our portfolio of collaboration and work management software products includes Jira, Confluence, Trello, Loom and Rovo. More than 300,000 businesses worldwide rely on Atlassian’s technology, including 80 percent of Fortune 500 companies. Our solutions support various business teams and they help organizations plan, track, and deliver their biggest ideas together.
Why Work With Us
At Atlassian, we believe we can accomplish so much more together than apart — which is why everything from our tooling — to our distributed workforce — to how our teams are structured is rooted in collaboration. Come join us and help unleash the potential of every team.
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Remote Workspace
Employees work remotely.
Atlassians have flexibility in where they work to support their family, personal goals, and other priorities. Our approach to distributed work allows us to tap into talent beyond our office locations, and to reimagine how work gets done.
