Head of Data Engineering

Atlassians can choose where they work – whether in an office, from home, or a combination of the two. We can hire people in any country where we have a legal entity.

Responsibilities

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.

• Lead a world-class data engineering practice, shape technical strategy and data architecture, and develop data products to enable reporting, analytics, data science, machine learning, and AI workloads.
• Partner with IT, data platform, product engineering, GTM stakeholders, analytics teams, and data scientists to support multiple programs as the data domain specialist.
• Build data products that power GTM (Marketing and Sales) strategy and important decisions across the organization.

Qualifications

• 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, managing managers of managers, and scaling organizations with 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 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.
• Prior experience in Martech (tools and tech) and Sales tech.
• Experience as a subject matter expert across Marketing, Sales, and Tech domains, translating stakeholders' needs into data products that enable data-driven decision-making.
• 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.

Pay

Atlassian follows consistent hiring practices and accounts for each candidate's skills, knowledge, and experience when setting base pay within the range. This role may also be eligible for benefits, bonuses, commissions, and equity.

In the United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are:

• Zone A: $238,500 - $311,375
• Zone B: $214,650 - $280,238
• Zone C: $197,955 - $258,441

Please confirm the zone for your specific location with your recruiter.

Benefits

Atlassian offers a wide range of perks and benefits designed to support you, your family, and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and more.