About the Role

The Solution Designer role sits at the intersection of data engineering, analytics, platform architecture, and project delivery, providing thought leadership and innovation for enterprise-grade data solutions. This role is accountable for the end-to-end solution design — from data extraction from source systems to ingestion, transformation, and creation of reusable data assets ready for analytics and business consumption.

You will work closely with architects, data engineers, and business stakeholders to design scalable, efficient, and future-ready data platforms and integration solutions.

Key Responsibilities

• Design, develop, test, and support end-to-end data solutions across multiple industry verticals.
  
• Build and maintain batch and near real-time data pipelines using modern data engineering frameworks.
  
• Demonstrate deep understanding of data architectures, data platforms, big data, data lakes, data warehousing, ML/AI, analytics, cloud platforms, data governance, and information management.
  
• Lead data ingestion and transformation design, ensuring high quality, reusable, and performant solutions.
  
• Develop and present Proof of Concepts (PoCs) and working prototypes for solution validation.
  
• Collaborate with internal/external stakeholders through workshops, consulting engagements, and delivery projects.
  
• Provide technical leadership and mentorship to junior engineers and consultants.
  
• Work closely with client and internal architecture teams to design and defend data solutions in complex enterprise environments.
  
• Ensure solution designs align with enterprise data strategy, security, and compliance requirements.
  

Experience and Skills Required

• Proven experience in Big Data platform delivery and data project execution within cloud and on-premises data lake environments.
  
• 7+ years in data projects involving design and engineering of complex data processes.
  
• 3+ years in large and complex financial services or banking environments.
  
• 3+ years of hands-on experience in advanced data transformation, data quality analysis, and remediation.
  
• Strong experience designing data pipelines, ingestion frameworks, and integration patterns.
  
• Proficient with Unix/Linux, Hadoop, Azure, Apache Spark (PySpark), and Python.
  
• Demonstrated ability to present and defend architectural decisions to senior stakeholders and large technical forums.
  
• Excellent verbal and written communication skills for effective stakeholder engagement and documentation.
  
• Strong collaboration, problem-solving, and time management skills in agile, fast-paced environments.
  
• Demonstrated ability to lead end-to-end solutions, troubleshoot delivery issues, and guide technical teams.
  

To be considered for the role click the 'apply' button or for more information about this and other opportunities please contact Yash Kumar Jain on 03 8680 4235 or email: ykumarjain@paxus.com.au and quote the above job reference number.

Paxus values diversity and welcomes applications from Indigenous Australians, people from diverse cultural and linguistic backgrounds and people living with a disability. If you require an adjustment to the recruitment process, including the application form in an alternate format, please contact me on the above contact details.