Atlassian

Head of Data Engineering

Atlassian$238K — $311K *
US-Anywhere
+ 2 other locationsRemote
Enterprise Technology
11 - 15 years of experience
Job Overview by Ladders

Qualifications

  • 15+ years in building and scaling data teams focused on strategy and architecture
  • 10+ years leading data engineering teams managing over 20 engineers
  • Experience delivering data solutions for product teams
  • Strong understanding of product drivers and data value guidance
  • Ability to develop relationships with senior leaders across departments
  • Experience partnering with Analytics, Data Science, Engineering, and Product Management
  • Led as a subject matter expert in Marketing, Sales, and Tech domains

Responsibilities

  • Lead the Data Engineering team to build data products for GTM strategies
  • Shape technical strategy and data architecture for the organization
  • Align data products with reporting, analytics, data science, machine learning, and AI workloads
  • Partner with IT and analytics teams to support various programs
  • Develop influential relationships with stakeholders
  • Drive the adoption of data-driven decision making across the company

Benefits

  • Health and wellbeing resources
  • Paid volunteer days
  • Wide range of perks and benefits supporting families and community engagement
Full Job Description
Overview

Responsibilities

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.

Compensation

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

Qualifications

  • 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 & Perks

Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit go.atlassian.com/perksandbenefits.

About Atlassian

Atlassian is a leading provider of collaboration, development, and issue tracking software for teams. With over 194,000 customers worldwide, including 85 of the Fortune 100, Atlassian is changing the way teams work. Our products help teams organize, discuss, and complete shared work. Atlassian has a unique business model that allows us to deliver software to teams of all sizes, from small startups to large enterprises. Our products are available on a subscription basis, with no upfront fees or long-term commitments. Atlassian was founded in 2002 and is headquartered in San Francisco, California.
Learn more about Atlassian
Size
6,433 employees
Market Cap
$31.9 billion
Industry
Net Income
-$1.1 billion
Founded
2002
5 Year Trend
+34.9%
Revenue
$1.8 billion
NASDAQ

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