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Head of Data Engineering

Job summary

San Francisco
Engineering

Work model

Remote first
Only United States
2 weeks ago
Job description

Overview

Atlassian offers a flexible work environment where employees can choose to work from an office, home, or a combination of both. We hire in any country where we have a legal entity.

Data is a core component of our business, with billions of events ingested monthly into our analytical platforms to drive company-wide decision-making.

Responsibilities

We are seeking an Engineering Leader to join our Data Engineering team to build data products that power product strategy and organizational decisions. You will lead a world-class data engineering practice, shape technical strategy and architecture, and develop products to enable reporting, analytics, data science, machine learning, and AI workloads.

Key responsibilities include:

  • Leading a high-performing organization focused on designing, building, and scaling foundational analytical data products.
  • Partnering with cross-functional stakeholders to define data strategies and improve data quality and reliability.
  • Delivering reusable data models, pipelines, and platforms that enable analytics at scale.

Qualifications

On your first day, we expect you to have:

  • 15 years of experience in building and scaling data teams with a focus on data strategy, infrastructure, architecture, and data products.
  • 10 years of experience leading data engineering teams, managing managers, and scaling organizations with over 20 engineers across geographies.
  • 10 years of experience delivering data and analytics solutions for product teams.
  • Strong product sense and understanding of product drivers.
  • Demonstrated experience building influential relationships with senior leaders.
  • Prior experience partnering with Analytics, Data Science, Engineering, and Product Management teams.
  • Experience building Microservices and RESTful APIs.
  • Experience implementing DevOps best practices, including CI/CD, data observability, monitoring, and lineage.
  • Proficiency with BI tools like Tableau, Amplitude, and Redash.
  • A graduate degree in Computer Science or a similar subject area.

Preferred Qualifications

  • Experience working for SaaS companies.
  • Experience with Machine Learning.
  • Contributions to open-source projects.

Compensation

Atlassian provides equitable and competitive compensation. Base pay is determined by skills, expertise, and experience.

US Geographic Pay Zones

  • Zone A: $234,000 - $305,500
  • Zone B: $210,600 - $274,950
  • Zone C: $194,400 - $253,800

This role may be eligible for benefits, bonuses, commissions, and equity. Please confirm your specific location zone with your recruiter.

Benefits & Perks

We offer a wide range of perks and benefits to support you and your family, including health and wellbeing resources and paid volunteer days. Learn more at go.atlassian.com/perksandbenefits.

About Atlassian

At Atlassian, we are motivated by a common goal: to unleash the potential of every team. We are an equal opportunity employer and value the unique contributions of all employees. Learn more about our culture and hiring process at go.atlassian.com/crh.