🛠 Tech Stack

💼 About This Role

You'll design and implement enterprise-level data solutions for clients across industries, blending data architecture and governance with consulting. You'll build robust data platforms, define standards, and implement governance frameworks that create lasting value.

🎯 What You'll Do

• Architect and implement enterprise-level data solutions aligning with business goals and compliance.
• Design and optimize data models, storage solutions, and integration pipelines across platforms.
• Partner with clients to develop scalable data platforms, governance frameworks, and analytics strategies.
• Create and oversee ETL/ELT processes and advise on data quality, security, and accessibility best practices.
• Serve as strategic liaison between business and IT to bridge gaps and ensure alignment.

📋 Requirements

• 5+ years in data architecture, data engineering, or related field
• High proficiency in SQL and strong data modeling skills
• Experience in data governance, compliance standards, and enterprise data strategy
• Experience with data lakehouse architecture including semi-structured and unstructured data processing

✨ Nice to Have

• Experience with BI tools like Tableau or Power BI
• Familiarity with Snowflake, Databricks, or similar cloud platforms
• ETL tool experience with dbt, Matillion, Informatica, or Fivetran

🎁 Benefits & Perks

• 🤝 People-focused culture with collaborative, customized solutions
• 🚀 Opportunity to shape data future for diverse clients
• 🏢 On-site role in Melbourne office with team collaboration
• 💡 Innovation-driven environment with unconventional approach

📨 Hiring Process

Estimated timeline: 2-3 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Hiring Manager Interview· 45 min
3. 3Technical Interview· 60 min