- 10+ years of consulting and technology experience
- 7+ years in Data Engineering, Data Platforms, or Analytics
- 6–8 enterprise Databricks implementations delivered in production
Key Responsibilities
- Design and lead enterprise-scale Data & AI solutions on Databricks Lakehouse
- Architect scalable data platforms across AWS, Azure and/or GCP
- Lead end-to-end Databricks implementations from discovery to production
- Build and optimize data pipelines using Apache Spark, Databricks and Delta Lake
- Drive performance tuning, cost optimization and platform scalability
- Implement CI/CD, DevOps and Infrastructure-as-Code practices
- Support MLOps and up-to-date AI workflows
- Lead architecture workshops, technical discovery sessions and executive presentations
- Work directly with global enterprise customers and senior stakeholders
- Mentor engineering teams and drive architecture/governance best practices
Must-Have Skills
- Strong hands-on Databricks
- Data Engineering & distributed data platforms
- Data governance, security and platform modernization
- Strong customer-facing consulting experience
- Excellent communication and presentation skills
- Databricks Data Engineer Professional Certification – Mandatory
Education
Bachelor's degree in Computer Science, Engineering, IT or related field.
Master's degree preferred.
What We’re Looking For
A hands-on architect who can design, implement and lead enterprise Databricks solutions , engage confidently with customers and provide technical leadership throughout the delivery lifecycle.
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📌 Urgent Hiring – Databricks Solution Architect | Sydney, Australia
🏢 N Human Resources & Management Systems
📍 Sydney
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