Databricks Solution Architect

NPAworldwide; Sydney; Hybrid; AUD 180,000 - 240,000; Full time

Benefits offered by this job

Hybrid work arrangement

Job summary

NPAworldwide is partnering with a leading Data & AI consulting organisation to hire an experienced Databricks Solution Architect for a permanent role in Sydney, Australia. The role demands expertise in designing enterprise Databricks solutions and delivering end-to-end data platforms across cloud providers.

You will lead architecture workshops, guide customers, and ensure scalable, secure, and high-performance data architectures with a strong focus on governance and DevOps practices.

Qualifications

• 10+ years of consulting and technology experience.
• Minimum 7+ years in Data Engineering, Data Platforms, or Analytics.
• Experience delivering 68+ enterprise Databricks implementations in production.
• Hands-on enterprise delivery experience is mandatory.
• Experience designing and deploying large-scale distributed data platforms.
• Strong customer-facing consulting and solution architecture experience.

Responsibilities

• Lead enterprise Databricks architecture design and delivery from discovery to production.
• Design and lead enterprise-scale Data & AI solutions on the Databricks Lakehouse Platform.
• Architect scalable, secure, high-performance data platforms across AWS, Azure, and GCP.
• Define end-to-end solution architectures aligned with business and technical objectives.
• Mentor teams and collaborate with customers to ensure successful implementations.
• Provide technical leadership throughout implementation and post-production support.

Job description

ABOUT CLIENT:

We are partnering with a leading

Job Description

ABOUT CLIENT:

We are partnering with a leading Data & AI Consulting organisation to hire an experienced Databricks Solution Architect for a permanent opportunity based in Sydney, Australia.

If you've successfully delivered enterprise Databricks solutions and enjoy solving complex data and AI challenges, I'd love to hear from you.

Location:

Sydney, Australia (Hybrid)

Key Responsibilities

SOLUTION ARCHITECTURE & DESIGN

• Design and lead enterprise-scale Data & AI solutions on the Databricks Lakehouse Platform.


• Architect scalable, secure, and high-performance data platforms across AWS, Azure, and/or GCP.


• Define end-to-end solution architecture, ensuring alignment with business and technical objectives.


• Recommend best practices for data engineering, governance, security, and platform modernization.

ENTERPRISE DELIVERY & IMPLEMENTATION

• Lead end-to-end delivery of enterprise Databricks implementations from discovery through production deployment.


• Successfully deliver large-scale production workloads with a focus on scalability, reliability, and performance.


• Solve complex production challenges involving distributed data processing, platform optimization, and cloud-native architectures.


• Ensure successful delivery within agreed timelines, quality standards, and customer expectations

DATA ENGINEERING & PLATFORM EXCELLENCE

• Develop and optimize enterprise data pipelines using Apache Spark and Databricks.


• Build scalable ETL/ELT frameworks using Delta Lake and modern data engineering practices.


• Apply deep understanding of Spark architecture, execution plans, and runtime optimization.


• Drive platform performance tuning, cost optimization, and workload scalability.

CLOUD & MODERN DATA PLATFORM

• Design and implement cloud-native data solutions across AWS, Azure, and GCP.


• Collaborate with platform engineering teams to implement CI/CD pipelines and deployment automation.


• Apply Infrastructure-as-Code and DevOps best practices where applicable.


• Support enterprise MLOps implementation and integration with modern AI workflows.

CUSTOMER ENGAGEMENT & CONSULTING

• Lead architecture workshops, technical discovery sessions, and executive presentations.


• Partner with customers to understand business challenges and translate them into scalable technical solutions.


• Provide technical leadership throughout implementation and post-production support.


• Build trusted advisor relationships with business and technology stakeholders.

CUSTOMER ENGAGEMENT & CONSULTING

• Define enterprise architecture standards and implementation best practices.


• Promote reusable solution accelerators, coding standards, and governance frameworks.


• Ensure security, compliance, data quality, and operational excellence across all implementations.


• Mentor engineering teams and contribute to capability building across the organization.

Qualifications

KNOWLEDGE & EXPERIENCE

• 10+ years of consulting and technology experience.


• Minimum 7+ years in Data Engineering, Data Platforms, or Analytics.


• Minimum 68 enterprise Databricks implementations delivered in production environments.


• Hands-on enterprise delivery experience is mandatory.


• Experience designing and deploying large-scale distributed data platforms.


• Strong customer-facing consulting and solution architecture experience.


• Experience working with global enterprise customers across multiple industries.

Education & Professional Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Technology, or a related discipline.


• Master's degree preferred.


• Databricks Data Engineer Professional Certification (Mandatory).


• Databricks Solution Architect Champion recognized by Databricks (Mandatory)


• Additional cloud certifications (AWS, Azure, or GCP) are highly desirable.

Soft Skills

• Excellent technical competency.


• Strong communication and presentation skills.


• Consulting mindset with strong problem-solving ability.


• Executive presence and stakeholder management capability.


• Customer engagement and workshop facilitation skills.


• Ability to influence technical and business decision-makers.

Why Is This a Great Opportunity

Great company

Growing rapidly in Globally, Europe and APAC

Opportunity to work on the most cutting edge technology and be a part of a small Australian team that will shape and grow the ANZ operation of the company.