Data Solutions Designer: Snowflake & AWS

Mane Consulting; Sydney; On-site; AUD 140,000 - 190,000; Full time

Job summary

Mane Consulting is seeking a Solution Designer to architect and deliver data integration and analytics solutions using Snowflake, AWS S3, and AWS Glue. You will translate requirements from stakeholders into scalable, secure, and compliant designs that balance innovation with governance.

Collaborate with data engineers, architects, and business analysts to define patterns, lead workshops, and guide implementation teams through design validation and optimization.

Qualifications

• Proven experience designing data solutions with Snowflake, AWS S3 and AWS Glue.
• Strong understanding of data warehousing and ETL/ELT pipelines.
• Experience communicating complex concepts to non-technical stakeholders.
• Familiarity with regulated environments (e.g., financial services).
• Knowledge of CI/CD pipelines and Infrastructure as Code (IaC).
• Certifications in AWS or Snowflake.

Responsibilities

• Design end-to-end data solutions leveraging Snowflake, AWS S3, and Glue.
• Collaborate to define solution patterns and integration strategies.
• Lead technical workshops and stakeholder engagements to capture requirements and present solution options.
• Ensure solutions align with enterprise architecture, security, and regulatory frameworks.
• Document solution designs, data flows, and technical specifications.
• Support implementation teams with guidance, troubleshooting, and QA.
• Contribute to continuous improvement of design standards and reusable components.

Skills

Data solution design

Stakeholder engagement

Documentation

Communication of complex concepts

Tools

Snowflake

AWS S3

AWS Glue

Terraform

CloudFormation

Job description

Mane Consulting is seeking a Solution Designer to architect and deliver data integration and analytics solutions using Snowflake, AWS S3, and AWS Glue. You will translate requirements from stakeholders into scalable, secure, and compliant designs that balance innovation with governance.

Collaborate with data engineers, architects, and business analysts to define patterns, lead workshops, and guide implementation teams through design validation and optimization.