Senior Data Engineering Manager

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 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 development
• Provide deep technical guidance across multiple facets of data engineering within a scalable ecosystem
• Champion engineering excellence by driving cultural and process improvements that elevate quality and efficiency
• Partner closely with counterparts in other departments as part of a cross-functional team, and foster that collaborative culture within your own team

• You have stellar people management skills and experience leading an agile software team
• You thrive when developing phenomenal people, not just great products
• You have worked closely with Data Science, Analytics, and Platform teams
• You bring expertise in building and maintaining high-quality data components and services
• You are able to drive technical excellence, pushing for innovation and quality
• You have at least 68 years of experience in a software development role as an individual contributor
• You have 4+ years of people management experience
• You have a deep understanding of data challenges at scale and the broader data ecosystem
• You have experience with solution architecture using public cloud offerings such as AWS, S3, Databricks, Spark/Spark Streaming, graph databases, dbt, or a similar stack
• You have experience with enterprise data architectural standards and methodologies
• You have experience with test automation and continuous delivery
• You hold a graduate degree in Computer Science or a similar discipline
• You have proficiency in at least one programming language such as Python, and strong command of SQL

• Experience building RESTful APIs and microservices
• Experience with Tableau and Tableau administration
• Experience with Machine Learning
• Contributions to open-source projects