Senior Data Engineering Manager

Overview

Working at Atlassian

Atlassian's can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassian's 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 Finance Data Engineering team within the Data Engineering department. Join us as we further democratize data and build exceptional data products for the company.

Responsibilities

Key Responsibilities

• Leadership: Hire, coach, mentor, and provide career development for a team of data engineers.

• Technical Guidance: Provide deep technical expertise in data engineering within a scalable ecosystem.

• Engineering Excellence: Drive cultural and process improvements to elevate quality and efficiency.

• Collaboration: Partner with cross-functional teams (Business Teams, Data Science, and Analytics Platform) to foster a collaborative culture.

Qualifications

At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. We follow consistent hiring practices and account for each candidate's skills, knowledge, and experience when setting base pay within the range.

This role may also be eligible for benefits, bonuses, commissions, and equity.

More about you...

• Experience:

  • 6–8+ years in a software development role (Individual Contributor).

  • 4+ years of people management experience leading agile teams.

• Technical Skills:

  • Proficiency in Python and SQL.

  • Experience with cloud stacks: AWS, S3, Databricks, Spark/Spark Streaming, graph databases, dbt.

  • Knowledge of enterprise data architectural standards, dimensional modeling, test automation, and continuous delivery.

• Education: Graduate degree in Computer Science or a similar discipline.

Preferred (Nice-to-Have) Skills

• Building RESTful APIs and microservices.

• Experience with Tableau.

• Knowledge of Machine Learning.

• Contributions to open-source projects.

Benefits & Perks

Atlassian 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 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. 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