Senior Data Engineering Leader, Platform & Strategy

Atlassian; Seattle (WA); Hybrid; USD 239,000 - 311,000; Full time

Benefits offered by this job

Health benefits

Volunteer days

Equity/bonus potential

Job summary

Atlassian is seeking an Engineering Leader to join the Data Engineering team and build scalable data products that power GTM strategy and key decisions across the organization.

You will lead a world‑class data engineering practice, shape technical strategy and data architecture, and develop data products for reporting, analytics, data science, ML, and AI workloads. You will partner with IT, data platform, product engineering, GTM stakeholders, analytics teams and data scientists.

Qualifications

• Fifteen-plus years shaping and scaling data teams and data strategy.
• Ten-plus years leading data engineering with managers of managers.
• Over ten years delivering data/analytics for product teams.
• Strong product sense and data-driven decision making.
• Proven relationships with senior leaders across functions.
• Experience partnering with Analytics, Data Science, Eng and PM teams.
• Experience in Martech and Sales tech domains.
• Led cross-functional data products for marketing, sales, and tech.

Responsibilities

• Lead world‑class data engineering practice and set technical strategy.
• Build data products powering reporting, analytics, ML, and AI workloads.
• Partner with IT, data platform, product engineering, GTM teams to support programs.

Skills

Data leadership

Data architecture

RESTful APIs

DevOps for data

BI tools

Stakeholder mgmt

Martech/Sales tech

Microservices

Cloud platforms

Machine learning basics

Education

MS in Computer Science

Tools

Tableau

Amplitude

Redash

Job description

Atlassian is seeking an Engineering Leader to join the Data Engineering team and build scalable data products that power GTM strategy and key decisions across the organization.

You will lead a world‑class data engineering practice, shape technical strategy and data architecture, and develop data products for reporting, analytics, data science, ML, and AI workloads. You will partner with IT, data platform, product engineering, GTM stakeholders, analytics teams and data scientists.