Senior Data Engineering Manager

Atlassian's mission, "to unleash the potential of every team," is the guiding light behind our work. We have developed well-known products such as Jira, Confluence, and Trello that fit into the fabric of teamwork across different types of teams and the processes to help every team succeed.
Atlassians can choose where they work - whether in an office, from home, or a combination. 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 as 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.
We seek a Senior Data Engineering Manager to join the Data Engineering team that supports the Customer Support and Services (CSS) organization in building foundational analytical and operational data products to provide the best customer support experience for Atlassian Customers.
As a Senior Data Engineering Manager, you will be a technical leader and a people manager. Your role encompasses guiding the team in making crucial technical decisions to develop production-grade data products. Additionally, you will prioritize and organize the team's workload, ensuring optimal efficiency. Beyond that, you'll foster career growth by providing mentorship opportunities and empowering your team to thrive professionally.

At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. To support this goal, the baseline of our range is higher than that of the typical market range, but in turn we expect to hire most candidates near this baseline. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience. 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: $203,300 - $271,000
Zone B: $183,000 - $243,900
Zone C: $168,700 - $225,000
This role may also be eligible for benefits, bonuses, commissions, and equity.
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.

• Build and 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.

• 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.

• 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.