n
- 10+ years of consulting and technology experience
n
- 7+ years in Data Engineering, Data Platforms, or Analytics
n
- 6–8 enterprise Databricks implementations delivered in production
n
n
Key Responsibilities
n
n
- Design and lead enterprise-scale Data & AI solutions on Databricks Lakehouse
n
- Architect scalable data platforms across AWS, Azure and/or GCP
n
- Lead end-to-end Databricks implementations from discovery to production
n
- Build and optimize data pipelines using Apache Spark, Databricks and Delta Lake
n
- Drive performance tuning, cost optimization and platform scalability
n
- Implement CI/CD, DevOps and Infrastructure-as-Code practices
n
- Support MLOps and modern AI workflows
n
- Lead architecture workshops, technical discovery sessions and executive presentations
n
- Work directly with global enterprise customers and senior stakeholders
n
- Mentor engineering teams and drive architecture/governance best practices
n
n
Must-Have Skills
n
n
- Robust hands-on Databricks
n
- Data Engineering & distributed data platforms
n
- Data governance, security and platform modernization
n
- Strong customer-facing consulting experience
n
- Excellent communication and presentation skills
n
- Databricks Data Engineer Qualified Certification – Mandatory
n
n
Education
n
Bachelor's degree in Computer Science, Engineering, IT or related field.
n
Master's degree preferred.
n
What We're Looking For
n
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.
📌 Urgent Hiring - Databricks Solution Architect | Sydney, Australia (New South Wales)
🏢 N Human Resources & Management Systems
📍 New South Wales
Reply to this offer
Impress this employer describing Your skills and abilities, fill out the form below and leave Your personal touch in the presentation letter.