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Atlassian

Senior Data Engineer

Reposted 3 Days Ago
In-Office or Remote
3 Locations
139K-219K Annually
Senior level
In-Office or Remote
3 Locations
139K-219K Annually
Senior level
Designs scalable data architectures, ELT/ETL pipelines, data models, quality frameworks, and self-service data platforms. Partners with engineering, product, program, leadership, and data science teams to translate business needs into technical solutions. The role includes end-to-end technical ownership, large-scale batch and streaming data processing, mentoring junior engineers, system optimization, and on-call support for platform stability.
The summary above was generated by AI
Analytics & Data Science | Remote, Americas | Remote, Remote | Austin, United States | Mountain View, United States or Remote | New York, United States | Seattle, United States | Washington DC, United States | San Francisco, United States
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.
Please visit

Atlassian Bellevue, Washington, USA Office

10900 NE 4th St, Bellevue, WA, United States, 98004

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