data domain specialist

Atlassian
San Francisco, CA, United States
11 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Compensation
$238,500.0 - $311,375.0
Working hours
Regular working hours
Job source

Tech stack

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)
+6 more
Data Strategy Information Technology Atlassian Tools Data Management Restful APIs Microservices

Job 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.

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.
  • 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

Benefits & conditions

At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. We follow consistent hiring practices and account for each candidate’s skills, knowledge, and experience when setting base pay within the range.

Please visit go.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.

This role may also be eligible for benefits, bonuses, commissions, and equity.

Pay Ranges

In The United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are:

Zone A: $238,500 - $311,375

Zone B: $214,650 - $280,238

Zone C: $197,955 - $258,441

About the company

Atlassians can choose where they work - whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity.

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Prepare application

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