9 hours ago

Head of Data Engineering

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 9 hours agoStatus: Live

Job Summary

Lead Atlassian’s Data Engineering practice and build data products that power GTM (Marketing and Sales) strategy and enterprise reporting, analytics, and AI workloads. Shape technical strategy and data architecture while scaling teams globally, partnering closely with IT, product engineering, analytics teams, and data scientists. Own data platform execution with a focus on systems at scale, microservices, RESTful APIs, and DevOps practices for CI/CD, observability, monitoring, and lineage.

Location: San Francisco, Seattle

Workplace: Remote

Employment Type: Full time

Job Function: Administration & Executive Assistance

Seniority: Sr. Director level

Key Responsibilities

•Lead the Data Engineering team to build data products that power GTM strategy and key organizational decisions.
•Shape technical strategy and data architecture while developing a world-class data engineering practice.
•Enable reporting, analytics, data science, machine learning, and AI workloads through scalable systems.
•Partner as the data domain specialist with IT, data platform, product engineering, GTM stakeholders, analytics teams, and data scientists across multiple programs.
•Own scalable delivery for data platforms that ingest billions of events monthly and support dozens of internal teams.

Key Requirements

•15+ years building and scaling data teams across data strategy, infrastructure planning, architecture, and data products.
•10+ years leading data engineering teams, including managing managers of managers and scaling to 20+ engineers across geographies.
•10+ years delivering data and analytics solutions for product teams.
•Product sense to guide value using data across the organization.
•Experience building microservices and RESTful APIs, plus DevOps best practices (CI/CD, observability, monitoring, lineage).

Experience:15+ yearsSaaS

Education:Master's

Skills:LeadershipRelationship buildingProduct senseStakeholder managementDomain expertise

Tech Stack:MicroservicesRESTful APIsDevOpsCI/CDData observabilityMonitoringLineageTableauAmplitudeRedashMachine LearningAIData architecture

Company Brief

Atlassian

Atlassian develops collaboration and workflow software—Jira, Confluence, Trello, Loom and more—used by teams for project management, software development, and IT service management across enterprises worldwide.

Industry: Developer Tools

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Sydney, Australia

Founded: 2002

Glassdoor: 3.1

Website LinkedIn Glassdoor

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Atlassian

9 hours ago

Head of Data Engineering

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 9 hours agoStatus: Live

Job Summary

Location: San Francisco, Seattle

Workplace: Remote

Employment Type: Full time

Job Function: Administration & Executive Assistance

Seniority: Sr. Director level

Key Responsibilities

•Lead the Data Engineering team to build data products that power GTM strategy and key organizational decisions.
•Shape technical strategy and data architecture while developing a world-class data engineering practice.
•Enable reporting, analytics, data science, machine learning, and AI workloads through scalable systems.
•Partner as the data domain specialist with IT, data platform, product engineering, GTM stakeholders, analytics teams, and data scientists across multiple programs.
•Own scalable delivery for data platforms that ingest billions of events monthly and support dozens of internal teams.

Key Requirements

•15+ years building and scaling data teams across data strategy, infrastructure planning, architecture, and data products.
•10+ years leading data engineering teams, including managing managers of managers and scaling to 20+ engineers across geographies.
•10+ years delivering data and analytics solutions for product teams.
•Product sense to guide value using data across the organization.
•Experience building microservices and RESTful APIs, plus DevOps best practices (CI/CD, observability, monitoring, lineage).

Experience:15+ yearsSaaS

Education:Master's

Skills:LeadershipRelationship buildingProduct senseStakeholder managementDomain expertise

Tech Stack:MicroservicesRESTful APIsDevOpsCI/CDData observabilityMonitoringLineageTableauAmplitudeRedashMachine LearningAIData architecture

Company Brief

Atlassian

Industry: Developer Tools

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Sydney, Australia

Founded: 2002

Glassdoor: 3.1

Website LinkedIn Glassdoor