Key skills
AIMachine LearningData EngineeringAnalyticsBITableauRESTfulSaaSAtlassianCI/CDProduct Management
About this role
Atlassian is a company dedicated to unleashing the potential of every team through their software products. They are seeking a Head of Data Engineering to lead the Data Engineering team, focusing on building data products that drive product strategy and decision-making across the organization.
Responsibilities:
- Lead a world-class data engineering practice
- Shape up technical strategy and data architecture
- Develop data products to enable reporting, analytics, data science, machine learning, and AI workloads
- Lead a high-performing organization focused on designing, building, and scaling foundational analytical data products
- Partner closely with cross-functional stakeholders to define data strategies
- Improve data quality and reliability
- Deliver reusable data models, pipelines, and platforms that enable analytics at scale
Requirements:
- 15+ years of experience in building and scaling data teams with a focus on data strategy, infrastructure planning, architecture, and data products
- 10+ years of experience leading data engineering teams, experience managing managers of managers, and experience scaling organizations with over 20+ engineers across geographies
- 10+ Years of experience delivering data and analytics solutions for product teams
- Product sense with an understanding of product drivers and of how to guide value using data across the organization
- Demonstrated experience developing influential relationships and trust with senior leaders across different departments
- Prior experience partnering with Analytics, Data Science, Engineering and Product Management teams
- Experience building Microservices and RESTful APIs
- Experience implementing DevOps best practices within the data platform, including solutions for CI/CD, data observability, monitoring, and lineage
- Experience with BI tools like Tableau, Amplitude, and Redash
- A graduate degree in Computer Science or a similar subject area
- Experience working for SAAS companies
- Experience with Machine Learning
- Committed code to open source projects