Head of Data Engineering

Atlassian • San Francisco, CA

106d • $194,400 - $305,500

About The Position

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. Interviews and onboarding are conducted virtually, a 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. As the data domain specialist, you will partner with IT, data platform, product engineering, analytics teams and data scientists to support multiple programs. This is a remote position and will report to the Head of Engineering.

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, managing managers of managers, and 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 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.

Nice To Haves

• Experience working for SAAS companies.
• Experience with Machine Learning.
• Committed code to open source projects.

Responsibilities

• Lead a world-class data engineering practice.
• Shape technical strategy and data architecture.
• Develop data products to enable reporting, analytics, data science, machine learning, and AI workloads.
• Partner with IT, data platform, product engineering, analytics teams, and data scientists to support multiple programs.

Benefits

• Health and wellbeing resources.
• Paid volunteer days.
• Equitable, explainable, and competitive compensation programs.
• Eligibility for benefits, bonuses, commissions, and equity.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Master's degree
• Number of Employees: 5,001-10,000 employees