Senior Data Architect: Shape Enterprise Data & Governance

Latitude IT; City of Melbourne; On-site; AUD 140,000 - 210,000; Full time

Job summary

Latitude IT is seeking a hands-on Senior Data Architect to lead enterprise data initiatives. You’ll work across engineering, product and business teams to understand how data is created, managed and consumed.

You’ll analyze existing data environments, develop logical and physical models, establish standards, and document data assets. The role emphasizes collaboration, data governance, and improving data quality and accessibility.

Qualifications

• Significant experience in Data Architecture or related field.
• Strong experience with relational databases.
• Excellent SQL and database analysis skills.
• Ability to translate technical concepts into clear documentation.
• Strong communication and stakeholder management.

Responsibilities

• Analyse and assess existing data environments, structures and relationships.
• Develop and maintain data models and documentation.
• Investigate data flows across platforms.
• Support data governance and data quality initiatives.
• Collaborate with engineering, product and business stakeholders.
• Provide guidance on database and data platform architecture.
• Develop technical documentation and standards.
• Improve data accessibility and reliability.

Skills

Data Architecture

SQL

Data Modeling

Relational DBs

Stakeholder Mgmt

Communication

Documentation

Analytical Thinking

Problem Solving

Cloud Data Platforms

Tools

MySQL

AWS/Aurora

APIs

Event-driven architectures

Reporting environments

Modern data engineering

Job description

Latitude IT is seeking a hands-on Senior Data Architect to lead enterprise data initiatives. You’ll work across engineering, product and business teams to understand how data is created, managed and consumed.

You’ll analyze existing data environments, develop logical and physical models, establish standards, and document data assets. The role emphasizes collaboration, data governance, and improving data quality and accessibility.