Senior Data Engineering Manager

Role Description

Data is a big deal at Atlassian. We ingest billions of events each month into our analytics platform and we have dozens of teams across the company depending on the platform to drive their decisions. We are looking for a senior data engineering manager to join our growing Data Engineering Org. 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. You will partner closely with cross-functional stakeholders to define data strategies, improve data quality and reliability, and deliver reusable data models, pipelines, and platforms that enable analytics at scale. This is a critical leadership role at the intersection of data architecture, engineering excellence, and business impact.

Responsibilities

• 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.

Qualifications

• Bachelor's or Master's degree in Computer Science or related field of study.
• At least 6-8 years of experience as an individual contributor in a Data Engineering or related Software Engineering role.
• 4+ years of experience managing data or related software teams.
• Track record of driving and delivering large (multi-person or multi-team) and complex projects.
• Great communicator with 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.
• Stellar people management skills and experience leading agile data or related software teams.
• Passionate about grooming talent and helping them reach their highest potential.
• Ability to 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.

Requirements

• 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

• A wide range of perks and benefits designed to support you and your family.
• Health and wellbeing resources.
• Paid volunteer days.
• Additional offerings to engage with your local community.