Head of Data Engineering, GTM

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. 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 GTM(Marketing and Sales )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, GTM Stakeholders ,analytics teams and data scientists to support multiple programs. 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 go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter. 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 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. Prior Experience in Martech (tools and tech) and Sales tech. Have led as Subject matter expert across Marketing, Sales and Tech domains, partnering and effectively translating stakeholders needs into data products that enables 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 Benefits & Perks 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 so much more. To learn more, visit go.atlassian.com/perksandbenefits . About Atlassian At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together. We beli