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Senior Principal Data Engineer

https://www.atlassian.com Logo

Atlassian

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Location:
United States, San Francisco

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Category:
IT - Software Development

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Contract Type:
Employment contract

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Salary:

Not provided

Job Description:

Atlassian is looking for a Senior Principal Data Engineer to join the Go-To Market Data Engineering (GTM-DE) team to build data lakes, maintain big data pipelines/services, and facilitate the movement of billions of messages daily. Work directly with business stakeholders and platform/engineering teams to enable growth and retention strategies. Use technical expertise to manage and orchestrate multi-petabyte scale data lakes and build scalable, efficient data pipelines and services.

Job Responsibility:

  • Help stakeholder teams ingest data faster into our data lake
  • find ways to make data pipelines more efficient
  • come up with ideas to help instigate self-serve data engineering within the company
  • building micro-services, architecting, designing, and enabling self-serve capabilities at scale to help Atlassian grow

Requirements:

  • 18+ years of experience in a Data Engineer role as an individual contributor
  • at least 7 years of experience as a tech lead for Data Engineering teams, and delivered complex, cross-team initiatives
  • built durable relationships with executives/senior leaders across Sales, Marketing, Finance, Commerce and related organizations, and understand complexities of data in these organizations
  • a track record of driving and delivering large complex, multi-team efforts
  • a great communicator and maintain many of the essential cross-team and cross-functional relationships necessary for the team's success
  • experience with building streaming pipelines with a micro-services architecture for low-latency analytics
  • experience working with varied forms of data infrastructure, including relational databases (e.g. SQL), Spark, dbt, and column stores (e.g. Redshift)
  • experience building scalable data pipelines using Spark using Airflow scheduler/executor framework or similar scheduling tools
  • experience working in a technical environment with the latest technologies like AWS data services (Redshift, Athena, EMR) or similar Apache projects (Spark, Flink, Hive, or Kafka)
  • understanding of Data Engineering tools/frameworks and standards to improve the productivity and quality of output for Data Engineers across the team
  • industry experience working with large-scale, high-performance data processing systems (batch and streaming) with a 'Streaming First' mindset to drive Atlassian's business growth and improve the product experience

Nice to have:

  • built and designed Kappa or Lambda architecture data platforms and services
  • experience implementing Master Data Management (MDM), Customer Relationship Management (CRM) solutions
  • built pipelines using Databricks and well-versed with their APIs
  • contributed to open source projects
  • well-versed in Python, & Spark and scaling data pipelines
What we offer:
  • health coverage
  • paid volunteer days
  • wellness resources

Additional Information:

Job Posted:
April 30, 2025

Employment Type:
Fulltime
Work Type:
Remote work
Job Link Share:

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