> Markdown version of [/jobs/ext/1907344-data-domain-specialist](https://www.wearedevelopers.com/jobs/ext/1907344-data-domain-specialist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # data domain specialist - **Company:** Atlassian - **Location:** San Francisco, CA, United States (Remote available) - **Experience:** Expert - **Salary:** $238,500.0 - $311,375.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Software as a Service, Continuous Integration, Data Architecture, Information Engineering, Data Infrastructure, DevOps, Machine Learning, BIG-IP Global Traffic Manager (GTM), DataOps, Tableau (Software), Data Strategy, Information Technology, Atlassian Tools, Data Management, Restful APIs, Microservices - **Published:** August 3, 2026 - **Apply:** https://www.dice.com/job-detail/fce82638-7145-4a17-a983-9547bdeda319 ## About the Role * 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. * Prior Experience in Martech (tools and tech) and Sales tech. * Have led as Subject matter expert across Marketing, Sales and Tech domains, partnering and effectively translating stakeholders needs into data products that enables data driven decision making. * 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 It's great but not required if you have: * Experience working for SAAS companies * Experience with Machine Learning * Committed code to open source projects ## Description Data is a big deal at Atlassian. We ingest billions of events each month into our analytical platforms and have dozens of teams across the company that depend on data platforms to drive their decisions. Atlassian is looking for an Engineering Leader to join the Data Engineering team and build data products that power GTM(Marketing and Sales )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. As the data domain specialist, you will partner with IT, data platform, product engineering, GTM Stakeholders ,analytics teams and data scientists to support multiple programs., 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. ## Related Videos - [Rest API Antipatterns](https://www.wearedevelopers.com/videos/100208-rest-api-antipatterns) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [REST In Peace: Why LLMs Can't CRUD](https://www.wearedevelopers.com/videos/100272-rest-in-peace-why-llms-can-t-crud) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)