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. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Overview
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.
Job Description
We are seeking a Senior Data Engineering Manager to join our Data Engineering team supporting the Enterprise Data Engineering organization. In this role, you will lead a high-performing team of engineers focused on designing, building, and scaling foundational analytical data products that power decision-making across the company.
Responsibilities
- Lead a team of data engineers through hiring, coaching, mentoring, and hands-on career development.
- Provide deep technical guidance and support the team in driving large projects within complex dependencies and multiple stakeholders.
- Collaborate with various stakeholders, gather deep domain expertise, and own delivery of projects across multiple streams.
- Collaborate in technical/architectural discussions, provide direction, and drive decision-making.
- Inspire innovation and operational excellence within the team and influence other Data Engineering teams.
Qualifications
- You have a Bachelor’s or Master’s degree in computer science or related field of study and at least 6-8 years of experience as an individual contributor in a Data Engineering or related Software Engineering role.
- You have 4+ years of experience managing data or related software teams.
- You have a track record of driving and delivering large (multi-person or multi-team) and complex projects.
- You are a great communicator and maintain many of the essential cross-team and cross-functional relationships necessary for the team's success.
- Industry experience working with large-scale, high-performance data processing systems (batch and streaming) with a 'Streaming First' mindset to drive Atlassian's business growth and improve the product experience.
- You have stellar people management skills and experience leading agile data or related software teams.
- You are passionate about grooming talent and helping them reach their highest potential.
- You can drive technical excellence, pushing for innovation and quality.
- Experience working with public cloud offerings such as Amazon Web Services, DynamoDB, ElasticSearch, S3, Databricks, Spark/Spark-Streaming, and Databricks.
Nice to Have
- Experience with at least one high-level programming language, such as Python
- Understanding and experience building RESTful APIs and microservices
- Experience with Tableau or other reporting tools.
- Basic understanding of Experimentation.
Benefits & Perks
Atlassian offers a wide range of perks and perks 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.
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.
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.
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📌 Senior Data Engineering Manager
🏢 Atlassian
📍 City of Sydney