Offer summary

Qualifications:

Minimum 5 years of experience in data engineering and solution architecture., Proven expertise with Azure data platform technologies such as Azure Data Factory, Synapse Analytics, and Databricks., Strong skills in SQL and Python for data pipeline development and data modeling., Experience working with enterprise-scale environments and leading data migration projects..

Key responsibilities:

Design and implement modern cloud-based data solutions in Azure.

Lead customer engagements and data transformation initiatives, advising clients on data architecture.

Guide data governance, AI adoption, and analytics strategies within client organizations.

Collaborate with stakeholders to ensure solutions meet security, compliance, and architectural standards.

Job description

Join Centorrino Technologies: Innovate, Grow, and Thrive with Us!

At Centorrino Technologies (CT), we’re more than just tech—we’re a community that goes beyond expectations. We’ve been recognised as a Great Place to Work in 20242025 and one of the Best Places to Work Medium & Large Size in Australia for 2025, with an outstanding eNPS score of 68. And we’re not stopping there. Were on a mission to redefine the customer experience, and we need a passionate Principal Cloud Data Engineer to join our Professional Services team in Australia.

You’ll be shaping and implementing modern data architectures, advising senior stakeholders and Clevel leaders on how to embed data at the heart of decisionmaking. You will lead customer engagements & data transformation initiatives requiring deep expertise in data engineering and solution architecture, working directly with clients to understand their requirements, design robust data solutions, and lead delivery from inception to production. You will guide uplift common architecture & industry solutions and contribute to market offerings.

This is a unique opportunity to establish a senior position that blends technical expertise with strategic influence. You will be at the forefront of data innovation, advising on modern platforms and helping organisations realise value through data transformation, governance and AI.

Requirements

What youll do:

Extensive experience in data strategy, AI, and analytics, guiding Clevel executives through complex data decisions and operating model design.

Shape and implement data initiatives aligned with business outcomes, focusing on unlocking value from data investments and translating complex needs into scalable solutions.

Design and deliver endtoend data solutions in the cloud, balancing scalability, security, and business agility.

Lead data maturity assessments, identifying capability gaps and creating actionable roadmaps.

Champion data governance, AI adoption, and selfservice analytics across client organisations.

Drive business development and presales activity, supporting proposals, SoWs, and commercial modelling to articulate client value.

Leverage the full Azure data stack to build scalable, integrated data platforms, and optimise data models for performance and maintainability.

Lead the creation and implementation of data pipelines and CICD frameworks, ensuring data quality, reliability, and efficient delivery.

Collaborate with stakeholders to align solutions with architectural standards and ensure compliance with security and regulatory requirements.

Build and maintain strong client relationships, providing strategic guidance as a trusted technical advisor.

What youll bring:
Proven experience with 5+ years in data engineering and solution architecture within enterprisescale environments, specialising in Azure technologies
Proven handson expertise with the Azure data platform, including, Fabric, Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure Data Lake Storage and Azure SQL Database, Purview Data Catalog and Data Map
Demonstrated clientfacing experience, effectively engaging with stakeholders to understand and address their needs
Strong skills in solutioning and project estimation, accurately scoping and planning data engineering projects
Strong practical knowledge of data modelling principles, including star and snowflake schemas, dimensional modelling, and Slowly Changing Dimensions
Expert in SQL and Python, with productionready code for both batch and realtime use cases; experience with R, Scala, or Java is a plus
Experience designing and implementing scalable ETLELT pipelines and data integration workflows
Demonstrated experience leading platform migrations, particularly from Azure Synapse or similar platforms
Strong understanding of CICD practices, Git branching, automated testing, and infrastructureascode
Strong knowledge and handson implementation of cloud security best practices, including identity and access management, encryption, and compliance
Experience monitoring cloud services and optimising performance and costs using Azure Monitor, Log Analytics, or equivalent tools
Benefits
Why Youll Love Working Here:
Our company is more than just a workplace, its a hub of inspiration and creativity where employees love to work! Heres why:

Hybrid working (for majority of our roles) with team anchor days to support collaboration.

Extensive training and development opportunities that enable continual growth as part of your career planning.

Extensive discounts and benefits to maximise your money.

A choice of your IT equipment to maximise your success and access to costprice tech for your personal needs.

Fun team events to celebrate achievements and connect with colleagues outside work as part of our engaging culture.

CT celebrates diversity and enables every voice to be heard as we drive to create the world we want. Apply today and be part of a team that values innovation, inclusivity, variety and diverse backgrounds.

Note: A valid Vulnerable People Working with Children Check (WWCC) and Police Check are required.