Principal Data Engineer

Ippon Technologies USA

. Drive end-to-end delivery of modern, scalable data platform and warehouse solutions for clients .

Posted 11/12/2026full-timeMelbourne • AustraliaLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and delivering cloud-based data architectures, particularly with Snowflake, AWS, Azure, and Databricks. Proven ability to lead technical teams, mentor consultants, and translate complex data concepts for diverse audiences.

Highest-signal resume keywords

Snowflake Data ArchitectureETL/ELT Pipeline ManagementCloud-Based Data SolutionsData Engineering CertificationTechnical Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModellingPerformance TuningData GovernanceData Pipeline EngineeringData Quality AssuranceData SharingCloud Architecture DesignData Warehouse SolutionsAnalytical ThinkingProblem-Solving

Soft Skills

Excellent CommunicationCollaborative ApproachOrganisational SkillsTime ManagementAdaptability

Tools & Technologies

SnowflakeAWSAzureDatabricksApache AirflowDbt

Certifications & Qualifications

Data Engineering CertificationSnowflake CertificationAzure CertificationDatabricks Certification

Industry Keywords

Data EcosystemsData StrategyTechnical EngagementsPre-Sales ActivitiesStakeholder Management

Tech Stack

Tools & technologies

AirflowApacheAWSAzureCloudETLSnowflake

About the role

Key responsibilities & impact

Drive end-to-end delivery of modern, scalable data platform and warehouse solutions for clients
Design and architect robust data ecosystems using Snowflake, AWS, Azure, and Databricks
Provide hands-on technical leadership, set engineering standards, and mentor consultants
Engineer, optimise, and govern data pipelines, models, and storage layers
Partner with Data Governance and Reporting Principals to align architecture with enterprise data strategy
Contribute to solution design, scope technical engagements, and support pre-sales activities
Work with data scientists, analysts, and business stakeholders to deliver impactful solutions
Translate complex technical concepts into clear insights for technical and non-technical audiences
Present to clients and internal stakeholders through structured reports and storytelling
Collaborate with project managers to keep delivery on track, within scope, and aligned to budget

Requirements

What you’ll need

Degree in Computer Science or a related discipline, or equivalent practical experience
3+ years hands-on Snowflake experience
Deep expertise in designing and delivering cloud-based data architectures, with a strong focus on modern data warehousing
Advanced proficiency in Snowflake, including data modelling, performance tuning, security and data sharing
Strong capability in building and managing ETL/ELT pipelines using tools such as Apache Airflow, dbt, or similar
Proven consulting capability—translating client needs into scalable, value-driven data solutions
Preferred Data Engineering Certification including certifications in Snowflake, Azure, or Databricks
Excellent communication skills, with the ability to convey complex concepts to technical and non-technical audiences
Strong analytical thinking and problem-solving mindset
Adaptable and forward-looking, with a passion for evolving technologies and practices in data engineering
Collaborative approach across multidisciplinary teams
Strong organisational and time management skills
Demonstrated leadership in guiding teams and influencing stakeholders
High attention to detail, ensuring data quality, integrity, and accuracy

Benefits

Comp & perks

Market leading salaries
Ongoing development and training
Attendance at conferences
Opportunity to contribute to the development and strategic direction of the business
Flexible organisation
4 day a week option
Work-life balance support
Inclusive culture
Equal opportunity employer