Back
Strong employer brand, remote hiring, and mid-level generalist data manager role increase applicant competition.
Core data engineering skills are transferable, but finance-team context raises domain specificity moderately.
Explicit years, required people-management, and specific tech stack create stringent shortlisting filters.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead and develop a team of data engineers focused on Finance Data Engineering within Atlassian’s Data Engineering department.
Provide deep technical guidance on scalable data engineering solutions and improve engineering quality and efficiency.
Collaborate with cross-functional teams including Business, Data Science, and Analytics to foster data-driven decision making.
6–8+ years in software development (Individual Contributor role).
4+ years managing agile teams of engineers.
Proficiency in Python, SQL, and experience with AWS, S3, Databricks, Spark/Spark Streaming, graph databases, and dbt.
Graduate degree in Computer Science or similar discipline.
Experienced leader comfortable managing and mentoring agile data engineering teams in a fast-growing environment.
Technically strong with hands-on expertise in cloud data stacks and enterprise data architecture.
Able to partner effectively across business, analytics, and data science teams to build impactful data products.