Cloud Data Solutions Architect

We are seeking an experienced Principal Data Engineer to join our team in Sydney. This is a hands-on role requiring deep expertise in data engineering and solution architecture, with a strong focus on cloud-based data platforms. You will work directly with clients to understand their requirements, design robust data solutions, and lead delivery from inception to production.

• Client Collaboration - Engage closely with clients to thoroughly understand their business requirements, define comprehensive data strategies, and translate complex needs into scalable, practical solutions.
  
• Designing End-to-End Data Solutions - Deliver high-quality, end-to-end data solutions across data ingestion, processing, modelling, and analytics in the cloud to enable efficient business intelligence.
  
• Solution Estimation and Project Scoping - Take ownership of solution estimation and sizing, ensuring accurate scoping of projects and meticulous planning of delivery efforts to align with client expectations and timelines.
  
• Data Modelling and Optimisation - Develop and optimise robust data models that underpin analytics, reporting, and business intelligence, ensuring maintainability and optimal performance.
  
• Data Integration and Workflow Development - Construct integration workflows to ingest both structured and semi-structured data from a variety of data sources.
  
• CI/CD Pipeline Setup and Automation - Spearhead the establishment and automation of CI/CD pipelines using cloud-native DevOps tools, facilitating seamless continuous delivery and deployment.
  
• Stakeholder Collaboration and Architectural Alignment - Collaborate with internal teams and external stakeholders to ensure all solutions adhere to recognised architectural standards.
  
• Technical Leadership and Project Lifecycle Management - Provide ongoing technical leadership throughout the project lifecycle, encompassing design, development, testing, deployment, and post-production support.
  
• Performance Monitoring and Cost Optimisation - Utilise monitoring and logging tools to oversee system performance, optimise resource utilisation, and manage costs efficiently.
  
• Data Governance and Security Compliance - Champion best practices in data governance, including data lineage, access control, security protocols, and compliance with relevant regulatory requirements.
  
• Client Relationship Management - Build and sustain strong client relationships by acting as a trusted technical advisor, offering expert guidance and strategic thought leadership.

• Demonstrated experience in data engineering and solution architecture within enterprise-scale environments, specialising in cloud technologies.
  
• Proven hands-on expertise with cloud-based data platforms, including Azure or GCP services.
  
• Strong skills in solutioning and project estimation, accurately scoping and planning data engineering projects.
  
• Expert in SQL and Python, with production-ready code for both batch and real-time use cases; experience with R, Scala, or Java is a plus.
  
• Experience designing and implementing scalable ETL/ELT pipelines and data integration workflows.
  
• Demonstrated experience leading platform migrations, particularly from cloud-based platforms.
  
• Strong understanding of CI/CD practices, Git branching, automated testing, and infrastructure-as-code.
  
• Strong knowledge and hands-on implementation of cloud security best practices, including identity and access management, encryption, and compliance.
  
• Experience monitoring cloud services and optimising performance and costs using cloud-native tools.
  
• Excellent communication skills with the ability to act as a trusted advisor to clients and stakeholders.

This is a mid-senior level full-time position with opportunities for professional growth and development.

• Full-time

• Other

• Software Development