Data Architect and Data Engineer (Snowflake, AWS)

Data Architect and Data Engineer (Snowflake, AWS)

• Leading company in its field
• 6 month initial assignment (good chance to extend further 6 months)
• Remote but resource must be based in New Zealand or Australia
• Start ASAP

 
Green Light Australia are looking to engage a Data Architect or Data Engineer with strong Snowflake and AWS experience to join their team.

Responsibilities

• Develop and own the target-state data architecture for Snowflake on AWS, including data ingestion, storage, transformation, modelling, and consumption layers.
• Assess and analyse the existing on-premises data landscape, including source systems, data flows, dependencies, interfaces, and workload characteristics to inform migration strategies.
• Design logical and physical data models across raw, curated, and business consumption layers to support enterprise analytics and reporting requirements.
• Define and govern data integration patterns for batch, incremental, and near real-time data ingestion into AWS and Snowflake environments.
• Lead the migration and modernisation of data platforms, pipelines, and workloads from on-premises environments to cloud-based AWS and Snowflake solutions.
• Establish enterprise data governance standards, including data quality, lineage, metadata management, reconciliation, security, and compliance requirements.
• Provide technical leadership and architecture governance throughout solution design, implementation, production readiness, and transition to managed services.
• Drive performance, scalability, resiliency, and cost optimisation by defining Snowflake and cloud architecture best practices, monitoring standards, and FinOps principles.
• Collaborate with business and technology stakeholders, including AWS, Snowflake, engineering, security, governance, and managed service teams to deliver strategic data solutions

Requirements

• Proven experience working as Data Architect or Data Engineer for large complex environments ideally finance and banking.
• Extensive Data Architecture experience with proven expertise designing enterprise-scale cloud data platforms using Snowflake and AWS.
• Strong hands-on Snowflake architecture knowledge, including databases, schemas, warehouses, Snow pipe, Streams, Tasks, security controls, and performance optimisation.
• Deep understanding of data warehousing, data lake/lakehouse architectures, ETL/ELT processes, and enterprise data integration frameworks.
• Demonstrated experience leading cloud migration and modernisation initiatives, particularly transitioning data platforms from on-premises environments to cloud architectures.
• Strong data modelling expertise, including dimensional modelling, relational modelling, semantic data layers, and enterprise data product design.
• Advanced knowledge of AWS data services and cloud-native solutions supporting data ingestion, storage, analytics, and integration workloads.
• Experience implementing data governance capabilities, including data quality, metadata management, lineage, cataloguing, privacy controls, and regulatory compliance frameworks.
• Strong understanding of security architecture, including IAM/RBAC, encryption, data masking, auditing, and secure data access controls within regulated environments.
• Experience with CI/CD, DataOps and automated deployment patterns for data solutions
• Excellent stakeholder management and technical leadership skills, with the ability to translate business requirements into scalable, secure, and high-performing data solutions.

 
About the company
We are an Australian onshore services company that provides technology capability across ANZ and Asia. Our services range from day-to-day operational activities, through project delivery, to more strategic and transformational programs. At Green Light, we are committed to creating a diverse and inclusive workplace where everyone feels valued and respected. We are proud to be an equal opportunity employer and do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.



 
We encourage applications from all backgrounds and communities, and we are dedicated to providing a fair and accessible recruitment process for all candidates. During the recruitment process, if you require any accommodations or modifications please reach out to View email address on au.fitly.work or call +61 9247 3799.

Apply Now! For more information, contact Neil on View phone number on au.fitly.work or email View email address on au.fitly.work