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About the Role

Atlassian is seeking an Engineering Leader to join the Data Engineering team, focusing on data governance and enterprise context to ensure data is trusted and AI-ready. The role involves owning the enterprise data governance operating model and shaping the technical strategy for data catalog, metadata, and lineage platforms.

Responsibilities

Own the enterprise data governance operating model, including domain ownership, decision rights, the governance council, and the steward network.
Set policy for data classification, access, retention, and acceptable use in collaboration with Privacy, Legal, Security, and Compliance.
Run data quality as a product.
Shape the technical strategy and architecture for the data catalog, metadata, and lineage platform.
Build enterprise context connecting business entities to ownership, lineage, and quality signals, exposed programmatically for agent and application consumption.
Shift governance left into data contracts, automated classification at ingest, and policy-as-code.
Define AI readiness as a certifiable state to gate data usage by models and agents.
Drive adoption of governance practices across a federated organization.
Implement DevOps best practices within the data platform, including CI/CD, data observability, monitoring, and lineage.
Build services and RESTful APIs, exposing metadata or platform capability programmatically for machine consumption.
Develop influential relationships and trust with senior leaders across departments.
Drive voluntary adoption from data producers who do not report to the role.
Partner with Analytics, Data Science, Engineering, Security, Privacy, Legal, and Product Management teams.

Requirements

15+ years of experience in data engineering, data platform, or data management, with a focus on data strategy, architecture, governance, and platform buildout.
8+ years of experience leading data engineering teams, including senior and principal-level architects and influencing teams outside of direct reporting lines.
Demonstrated experience standing up or scaling an enterprise data catalog or metadata platform (e.g., DataHub, Unity Catalog), owning integration, adoption, and outcome metrics.
Demonstrated experience owning a data governance operating model end to end, including policy, domain ownership, stewardship, classification, data quality, and controls.
Experience with a data-as-a-product or data contracts operating model.
Experience building a semantic layer, ontology, or knowledge graph for machine consumption, including agent-facing metadata access.
Experience across corporate data domains (Finance, People, GTM) and customer or product data, understanding their differing risk profiles.
Working fluency in privacy and regulatory requirements (GDPR, CCPA/CPRA, SOX, SOC 2) and practical command of classification schemes, access control models, masking, tokenization, and purpose limitation.
Technical depth in SQL, modern lakehouse platforms (Snowflake, Databricks, BigQuery), transformation tooling (dbt), orchestration, and streaming/CDC patterns.
Experience implementing DevOps best practices within the data platform.
Experience building services and RESTful APIs.
Demonstrated experience developing influential relationships and trust with senior leaders.
Prior experience partnering with Analytics, Data Science, Engineering, Security, Privacy, Legal, and Product Management teams.

Skills

Data Engineering
Data Platform
Data Management
Data Strategy
Data Architecture
Data Governance
Platform Buildout
Data Catalog
Metadata Management
Data Quality
Data-as-a-Product
Data Contracts
Semantic Layer
Ontology
Knowledge Graph
SQL
Snowflake
Databricks
BigQuery
dbt
DevOps
CI/CD
Data Observability
Monitoring
Lineage
RESTful APIs
LLMs (preferred)
SaaS
Responsible AI
AI Governance Frameworks
DAMA-DMBOK
CDMP
CIPP
CIPT

Location

United States

Work Type

Office
Home
Combination of office and home

Experience Level

15+ years of experience in data engineering, data platform, or data management
8+ years of experience leading data engineering teams

Education Level

Graduate degree in Computer Science, Information Management or a similar subject area
DAMA-DMBOK grounding
CDMP
CIPP
CIPT

Salary/Compensations

Zone A: $238,500 - $311,375
Zone B: $214,650 - $280,238
Zone C: $197,955 - $258,441

Benefits

Health and wellbeing resources
Paid volunteer days
Benefits, bonuses, commissions, and equity may be available

About the Company

Atlassian's mission is to unleash the potential of every team through software products designed for all types of work, fostering collaboration to achieve the impossible.
Atlassian believes unique contributions from all employees drive success and ensures products and culture incorporate diverse perspectives and experiences.

Equal Opportunity

Atlassian never discriminates based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status.
All information will be kept confidential according to EEO guidelines.
Accommodations or adjustments can be supported at any stage of the recruitment process.
Identity verification (which may include use of biometric data) is a condition of employment with Atlassian for employment fraud purposes, in line with local law.