Urgent Hiring – Databricks Solution Architect | Sydney, Australia

N Human Resources & Management Systems; Sydney; On-site; AUD 180,000 - 250,000; Full time

Job summary

N Human Resources & Management Systems in Sydney is seeking an experienced Databricks Solution Architect to join a fast-growing Data & AI consultancy.

You will design and deliver enterprise Databricks Lakehouse solutions across AWS/Azure/GCP, mentor teams, and partner with senior stakeholders.

Qualifications

• Hands-on Databricks architecture and data platform experience.
• Experience with data governance, security, and platform modernization.
• Strong customer-facing consulting and communication skills.

Responsibilities

• Design and lead enterprise 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 modern AI workflows.
• Lead architecture workshops and executive presentations.
• Mentor engineering teams and drive governance best practices.

Skills

Databricks

Data engineering

Governance & security

Consulting experience

Communication & presentation

Databricks Data Engineer Certification

Education

Bachelor's degree (CS/Engineering/IT)

Master's degree (preferred)

Job description

N Human Resources & Management Systems | Full time

Urgent Hiring – Databricks Solution Architect | Sydney, Australia

Sydney, Australia | Posted on 09/09/2026

We are looking for an experienced Databricks Solution Architect to join a fast-growing Data & AI consulting organization in Sydney.

Location

Sydney, Australia

Role

Databricks Solution Architect / Senior Solution Architect

Experience

• 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 modern 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.