Principal Data Engineer

Ippon Technologies USA

Senior Data Engineer driving data pipeline solutions at Ippon Australia, leveraging cloud technologies for innovative client value. Collaborate with teams to deliver scalable data ecosystems.

Posted 4/27/2026full-timeMelbourne • 🇦🇺 AustraliaLeadWebsite

Tech Stack

Tools & technologies

AirflowApacheAWSAzureCloudETL

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 technologies such as Snowflake, AWS, Azure, and Databricks, ensuring performance, scalability, and maintainability.
Provide strong hands-on technical leadership—guiding teams, setting engineering standards, and mentoring consultants to uplift capability across projects.
Engineer, optimise, and govern data pipelines, models, and storage layers to support high-quality, reliable data outcomes.
Partner closely with Data Governance and Reporting Principals to align architecture with enterprise data strategy and best practices.
Contribute to solution design, scope technical engagements, and support pre-sales activities by shaping pragmatic, value-driven client proposals.
Work collaboratively with cross-functional teams including data scientists, analysts, and business stakeholders to deliver impactful solutions.
Translate complex technical concepts into clear, meaningful insights for both technical and non-technical audiences.
Present confidently to clients and internal stakeholders through structured, concise reports and storytelling.
Collaborate with project managers to ensure delivery remains on track, within scope, and aligned to budget expectations.

Requirements

What you’ll need

Degree in Computer Science or a related discipline, or equivalent practical experience
Preferred Data Engineering Certification including certifications in Snowflake, Azure, or Databricks
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
Excellent communication skills, with the ability to convey complex concepts to both 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, working effectively across multidisciplinary teams
Strong organisational and time management skills, with the ability to balance multiple priorities
Demonstrated leadership in guiding teams and influencing stakeholders
High attention to detail, ensuring data quality, integrity, and accuracy across solutions

Benefits

Comp & perks

Market leading salaries
Ongoing development support including training and attendance at conferences
4-day work week option for work-life balance

ATS Keywords

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Hard Skills & Tools

data platform solutionsdata architecturedata pipelinesdata modellingperformance tuningETL pipelinesELT pipelinesdata governancecloud-based data architecturesdata warehousing

Soft Skills

technical leadershipmentoringcommunication skillsanalytical thinkingproblem-solvingcollaborationorganisational skillstime managementadaptabilitystakeholder influence

Certifications

Data Engineering CertificationSnowflake CertificationAzure CertificationDatabricks Certification