Head of Data Engineering
About The Position
Atlassian is looking for an Engineering Leader to join the Data Engineering team and build data products that power product strategy and important decisions across the organization. We are looking for a leader passionate about building systems at scale. You will lead a world-class data engineering practice, shape up technical strategy and data architecture, and develop data products to enable reporting, analytics, data science, machine learning, and AI workloads. In this role, you will lead a high-performing organization 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.
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
- 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
Nice To Haves
- Experience working for SAAS companies
- Experience with Machine Learning
- Committed code to open source projects
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
Benefits
- health and wellbeing resources
- paid volunteer days
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What This Job Offers
Job Type
Full-time
Career Level
Manager
