Head of Data Engineering

Atlassian; San Francisco (CA); Hybrid; USD 238,500 - 311,375; Full time

Benefits offered by this job

Health & wellbeing resources

Paid volunteer days

Job summary

Atlassian is seeking an Engineering Leader to join the Data Engineering team in San Francisco. You will build data products powering GTM strategy, lead a world-class data engineering practice, shape technical strategy and data architecture, and develop data products enabling reporting, analytics, data science, ML, and AI workloads.

You will partner with IT, data platform, product engineering, GTM stakeholders, analytics teams and data scientists to support multiple programs.

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, managing managers of managers, and scaling organizations with 20+ engineers across geographies.
• 10+ years delivering data and analytics solutions for product teams.
• Strong product sense and ability to guide value using data across the organization.
• Proven ability to build influential relationships with senior leaders across departments.
• Experience partnering with Analytics, Data Science, Engineering and Product Management teams.
• Martech (tools and tech) and Sales tech experience.
• Led as SME across Marketing, Sales and Tech domains, translating stakeholder needs into data products.
• Experience building Microservices and RESTful APIs.
• DevOps practices for data platforms including CI/CD, data observability, monitoring and lineage.
• Experience with BI tools like Tableau, Amplitude, and Redash.
• Graduate degree in Computer Science or similar field.
• Experience in SAAS companies and with Machine Learning is a plus.

Responsibilities

• Lead and grow a world-class data engineering practice.
• Shape technical strategy and data architecture for scalable data products.
• Partner with IT, data platform, product engineering, GTM stakeholders, analytics, and data scientists.
• Deliver reporting, analytics, data science, ML, and AI workloads at scale.
• Translate stakeholder needs into data products that drive data-driven decisions.

Skills

Data strategy

Data infrastructure planning

Data architecture

Data products

Leadership of data teams

Product sense

Cross-functional collaboration

Stakeholder management

Martech & Sales tech

Subject matter expert in Marketing/Saa

RESTful APIs

Microservices

DevOps for data platforms

CI/CD

Data observability & monitoring

Data lineage

BI tools (Tableau, Amplitude, Redash)

Education

Graduate degree in Computer Science

Tools

RESTful APIs

Microservices

CI/CD

Data observability

Tableau

Amplitude

Redash

Job description

Analytics & Data Science | San Francisco, United States | Remote, Remote | Seattle, United States |

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.

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.

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.

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

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

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

At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.

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 provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.

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.

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