Senior Data Engineering Manager, Atlassian

Senior Data Engineering Manager

Atlassian

Location:

United States, San Francisco

Category:

IT - Software Development

Contract Type:

Employment contract

Salary:

168700.00 - 271100.00 USD / Year

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Job 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. The team is also responsible to build and manage Atlassian’s operational data store which is critical in helping make decisions and guiding their operations based on the data and services we provide. We are looking for a data engineering manager to join our growing Finance Data Engineering team which is part of the Data Engineering department. Come and join our efforts to further democratize data and build exceptional data products for the company.

Job Responsibility:

build and lead a team of data engineers through hiring, coaching, mentoring, and hands-on career development
provide deep technical guidance in a number of aspects of data engineering in a scalable ecosystem
champion cultural and process improvements through engineering excellence, quality and efficiency
work with close counterparts in other departments as part of a multi-functional team, and build this culture in your team

Requirements:

stellar people management skills and experience in leading an agile software team
thrive when developing phenomenal people, not just great products
worked closely Data Science, analytics and platform teams
expertise in building and maintaining high-quality components and services
able to drive technical excellence, pushing for innovation and quality
at least 10 years experience in a software development role as an individual contributor
4+ years of people management experience
deep understanding of data challenges at scale challenges and the eco-system
experience with solution building and architecting with public cloud offerings such as Amazon Web Services, DynamoDB, ElasticSearch, S3, Databricks, Spark/Spark-Streaming, GraphDatabases
experience with Enterprise Data architectural standard methodologies
experience with test automation and continuous delivery
a graduate degree in Computer Science or similar discipline

Nice to have:

experienced with Financial data in an enterprise setting
experience with at least one high-level programming language such as Python
understanding and experience building RESTful APIs and microservices
experience with Tableau and Tableau administration
experience with Machine Learning
committed code to open source projects and have some examples

What we offer:

health coverage
paid volunteer days
wellness resources

Additional Information:

Job Posted:

March 19, 2025

Employment Type:

Fulltime

Work Type:

On-site work

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