Senior Manager, Data Engineering

Working at Atlassian
Atlassian can hire people in any country where we have a legal entity. Assuming you have eligible working rights and a sufficient time zone overlap with your team, you can choose to work remotely or return to an office as they reopen (unless it’s necessary for your role to be performed in the office). Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Job Description: Atlassian is looking for a hands-on Senior Data Engineering Leader to join our Data Engineering and Applications team and build data products and applications that power critical business decisions across the organization and inform the product strategy. We are looking for a forward-thinking, structured problem solver, technical specialist, and talented leader passionate about building systems at scale. You will lead a world-class engineering practice, develop data solutions that the business teams can use with a high level of confidence and trust to drive their day-to-day decisions and product strategy.As the data domain specialist, you will be partnering with a cross-functional team consisting of IT, data platform, product engineering, analytics teams, and data scientists across various initiatives. Requirements may be vague, but the iterations will be rapid, and you need to take smart and calculated risks. You are interested in reporting platforms and data visualization.More about youYou are passionate about technology, data and understand the power of the data to influence the future of companies like Atlassian. You thrive on developing phenomenal people and data products with your experience as a leader using modern data architecture and engineering practices and tools to process, store, and expose consumer-scale datasets and build robust back-end services.You are well-versed in data-driven and data-informed product development, and you are comfortable with the nuts and bolts of software engineering, data engineering, and basic data science.You have excellent business engagement skills, thrive on building strong partnership and working relationship with business leaders at all levels. You have a strong sense of fiscal discipline and manage tight budget and drive cost efficiency.You are an experienced manager with a strong record of attracting and growing data talent through hiring, coaching, mentoring, and hands-on career development. You foster an inclusive environment where all points of view are welcomed and encouraged

On your first day, we'll expect you to have:

• 12+ years of experience in building and managing data warehouse, data pipelines, and data products
• 8+ years of experience leading data engineering teams
• Strong business acumen with an understanding of business drivers and of how to drive value using data across the organization
• Demonstrated experience of having developed strong business relationship and trust with senior business leaders across different business functions.
• 10+ Years of experience in delivering data and analytics solutions for various domains like Go To Market, Customer support, Finance, People, Commerce, R&D
• Experience with solution building and architecting with public cloud offerings such as Amazon Web Services, S3, EMR/Spark/Hive, Presto/Athena
• Proven experience building streaming and batch processing data pipelines
• Experience building pipelines to support Machine Learning workloads
• Experience with test automation, continuous delivery, ensuring high data quality across multiple datasets used for analytical purposes
• Experience in building anomaly detection checks and proactive monitoring of the quality of the data and KPI's at scale
• Experience with Lambda Architecture or other Big Data architectural standard methodologies
• Solid understanding and experience building Microservices and RESTful APIs
• Experience with Tableau and other BI tools
• Prior experience working with Analytics and with Data Science teams
• Proven experience hiring and mentoring high-caliber, data-focused engineers with diverse technical strengths and backgrounds.
• High-energy self-starter with a passion for data, enjoy working in a fast-paced environment.
• Exceptional communication skills and can translate technical concepts into easy-to-understand language for business partners.
• A graduate degree in Computer Science or a similar subject area

It's great but not required if you have:

• Experience working with Product Engineering teams
• Experience working with Data Governance teams implementing Data management practices
• Experience working for SAAS companies
• Experience with Machine Learning
• Committed code to open source projects

Our perks & benefits
To support you at work and play, our perks and benefits include ample time off, an annual education budget, paid volunteer days, and so much more.
About Atlassian
The world’s best teams work better together with Atlassian. From medicine and space travel, to disaster response and pizza deliveries, Atlassian software products help teams all over the planet. At Atlassian, we're motivated by a common goal: to unleash the potential of every team.
We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.
To learn more about our culture and hiring process, explore our Candidate Resource Hub.