Head of Data Engineering
Atlassian's mission, "to unleash the potential of every team," is the guiding light behind our work. We have developed well-known products such as Jira, Confluence, and Trello that fit into the fabric of teamwork across different types of teams and the processes to help every team succeed.
Atlassians can choose where they work - whether in an office, from home, or a combination. 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 as part of being a distributed-first company.
Data is a big deal at Atlassian. We ingest billions of events each month into our analytical platforms and have dozens of teams across the company that depend on data platforms to drive their decisions.
Atlassian is looking for an Engineering Leader to join the Data Engineering team and build data products that power product strategy and important decisions across the organization . We are looking for a leader passionate about building systems at scale. You will lead a world-class data engineering practice, shape up technical strategy and data architecture, and develop data products to enable reporting, analytics, data science, machine learning, and AI workloads.
Requirements
15+ years of experience in building and scaling data teams with a focus on data strategy, infrastructure planning, architecture, and data products
10+ years of experience leading data engineering teams, experience managing managers of managers, and experience scaling organizations with over 20+ engineers across geographies
10+ Years of experience delivering data and analytics solutions for product teams
Product sense with an understanding of product drivers and of how to guide value using data across the organization
Demonstrated experience developing influential relationships and trust with senior leaders across different departments
Prior experience partnering with Analytics , Data Science, Engineering and Product Management teams
Experience building Microservices and RESTful APIs
Experience implementing DevOps best practices within the data platform, including solutions for CI/CD, data observability, monitoring, and lineage
Experience with BI tools like Tableau, Amplitude, and Redash
A graduate degree in Computer Science or a similar subject area
It's great but not required if you have:
Experience working for SAAS companies
Experience with Machine Learning
Committed code to open source projects
The application process will continue on the employer's website.
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