A hands-on data-engineering role focused on delivering secure, scalable Snowflake data products within a regulated banking environment. The position emphasizes end-to-end ownership, cloud-native platforms, CI/CD, security, governance, performance, cost optimization, and collaboration with business and architecture stakeholders.
Role Purpose
Design, build, enhance, and support scalable data pipelines, data models, and analytical solutions on Snowflake. The role helps enable trusted, governed data for banking products, operations, risk, finance, customer analytics, and regulatory reporting.
Key Responsibilities
Design, develop, and maintain Snowflake databases, schemas, data models, and reusable data products
Build and optimize ETL/ELT pipelines using SQL, Python/Snowpark, dbt, Snowflake Tasks, Streams, and stored procedures
Integrate data from enterprise source systems, APIs, cloud platforms, and third-party data sources
Develop and maintain automated deployment pipelines using Git-based version control and CI/CD practices
Apply data-engineering practices for performance tuning, workload management, query optimization, and warehouse cost control
Implement data security and governance controls, including role-based access control, masking policies, secure data sharing, auditing, and data-quality checks
Partner with data architects, analysts, product owners, risk and compliance teams, and business stakeholders to translate requirements into scalable technical solutions
Support production incident resolution, root-cause analysis, monitoring, documentation, and continuous improvementProvide technical leadership through code reviews, standards,



reusable patterns, and mentoring of junior engineers
Essential Skills and Experience
Strong hands-on Snowflake development experience in an enterprise data environment
Advanced SQL skills, including complex transformations, performance tuning, stored procedures, and data modelling
Experience building cloud-native data solutions on AWS and/or Azure
Experience with ELT/ETL frameworks and tools such as dbt, Snowpark, Python, Airflow, or equivalent orchestration tools
Practical experience with GitHub/Git, automated testing, and deployment pipelines
Robust CI/CD and DevOps capability
Experience with data governance, data quality, security, privacy, and access-control requirements
Familiarity with Agile delivery, stakeholder management, and documenting technical designs
Banking or financial-services experience, particularly where data handling, auditability, and regulatory controls are important
Experience with AI-enabled analytics, automation, or data platforms supporting machine-learning workloads
Knowledge of data observability, metadata management, lineage, and catalogue tooling
Snowflake certification, such as SnowPro Core or SnowPro Advanced
Experience with APIs, event-driven integration, and modern data-platform architectures
Candidate Profile
The ideal candidate is a senior, delivery-oriented engineer who can own a solution from technical design through deployment and operational support, balancing speed of delivery with security, governance, performance, and cost optimization, plus strong stakeholder collaboration in a large, regulated environment.
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📌 Senior Snowflake Engineer (Sydney)
🏢 PAAR Systems
📍 Sydney