Amplitude, Business Intelligence, Continuous Integration & Continuous Delivery - CI/CD, Data Warehousing, DevOps, Looker, Machine learning techniques, PowerBI, REST API, SaaS, Tableau
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 from an office (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.
Atlassian is looking for an Engineering Leader to join Data Engineering and Applications team and build data products and applications that power critical business decisions across the organization and inform the product strategy. This leader will be responsible for leading more than one Data engineering team. 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 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 a cross-functional team of IT, data platform, product engineering, analytics teams, and data scientists to support various initiatives. Requirements may be vague, but the iterations will be rapid, and you must take thoughtful and calculated risks. You are interested in reporting platforms and data visualization. Collaborate with legal, compliance, and internal audit to understand audit, compliance, and legal requirements and ensure data products and services are developed in compliance with policies.
More about you
You are passionate about technology and data and understand the power of data to influence the future of companies like Atlassian. You thrive on developing phenomenal data products using modern data architecture, engineering practices, and tools to process store, and expose governed and trusted datasets and metrics.
You are well-versed in data-driven and data-informed product development and comfortable with the nuts and bolts of software engineering, data engineering, and basic data science.
You have excellent business engagement skills and thrive on building strong partnerships and working relationships with business and analytics leaders at all levels. You have a strong sense of fiscal discipline, manage tight budgets, and drive cost efficiency.
You are an experienced leader with extensive experience managing managers and 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:
It's great but not required if you have:
At Atlassian, we tie our base pay ranges to role and level. In the United States, that means your base pay ranges will fall into one of three geographic pay zones depending on your location. Our current base pay ranges for new hires in each zone are:
Within each range, base pay is ultimately determined based on your skills, expertise, and experience. This role may also be eligible for benefits, bonuses, commissions, and/or equity.
Please visitgo.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.
Our perks & benefits
To support you at work and play, ourperks and benefitsinclude ample time off, an annual education budget, paid volunteer days, and so much more.
Atlassian is a Australian software company that develops products for software developers, project managers and other software development teams and unleashes the potential of every team. software helps teams organize, plan, communicate, and work collaboratively. Products are a mainstay across industries and used by over 194,000 customers including Bank of America, Redfin, Dropbox, Verizon, and NASA.
Sydney NSW, Australia
2-4 year
Mountain View, CA, USA
2-4 year
San Francisco, CA, USA
2-4 year
Mountain View, CA, USA
10-12 year
Bengaluru, Karnataka, India
4-6 year
Bengaluru, Karnataka, India
6-8 year
Washington D.C., DC, USA
12-14 year
San Francisco, CA, USA
10-12 year
Bengaluru, Karnataka, India
16-18 year