Senior Data Engineering Manager

Working at AtlassianAtlassians 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 central to everything at Atlassian. We ingest billions of events each month into our analytics platform, and dozens of teams across the company rely on it to drive critical decisions. Our team also builds and manages Atlassian's analytical and operational data store enabling teams to make informed decisions and run their operations on trusted data and services. We're looking for a Senior Data Engineering Manager to join our growing GTM Data Engineering team within the Data Engineering department. Join us as we further democratize data and build exceptional data products for the company.In this role you will get to...Build and lead a team of data engineers through hiring, coaching, mentoring, and hands-on career developmentProvide deep technical guidance across multiple facets of data engineering within a scalable ecosystemChampion engineering excellence by driving cultural and process improvements that elevate quality and efficiencyPartner closely with counterparts in other departments as part of a cross-functional team, and foster that collaborative culture within your own teamMore about you...You have stellar people management skills and experience leading an agile software teamYou thrive when developing phenomenal people, not just great productsYou have worked closely with Data Science, Analytics, and Platform teamsYou bring expertise in building and maintaining high-quality data components and servicesYou are able to drive technical excellence, pushing for innovation and qualityYou have at least 68 years of experience in a software development role as an individual contributorYou have 4+ years of people management experienceYou have a deep understanding of data challenges at scale and the broader data ecosystemYou have experience with solution architecture using public cloud offerings such as AWS, S3, Databricks, Spark/Spark Streaming, graph databases, dbt, or a similar stackYou have experience with enterprise data architectural standards and methodologiesYou have experience with test automation and continuous deliveryYou hold a graduate degree in Computer Science or a similar disciplineYou have proficiency in at least one programming language such as Python, and strong command of SQLIt's great, but not required, if you have...Experience building RESTful APIs and microservicesExperience with Tableau and Tableau administrationExperience with Machine LearningContributions to open-source projectsBenefits & PerksAtlassian 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 AtlassianAt 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 believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.To learn more about our culture and hiring process, visit go.atlassian.com/crh.In line with local law, identity verification (which may include use of biometric data) is a condition of employment with Atlassian for employment fraud purposes.#LI-KU1