Senior Azure Data Platform Engineer / Architect

Powerdata Group Consulting; Sydney; À distance; AUD 165 000 - 248 000; Plein temps

Résumé du poste

Powerdata Group Consulting is seeking a Senior Azure Data Platform Engineer/Architect to uplift and standardise an enterprise data platform for a major financial services client. You will work across Azure components, migrate ETL/ELT, and deliver reusable data products while engaging business and technical stakeholders.

The role requires hands-on delivery, independent operation, and strong experience with Azure data services and Power BI to enable enterprise analytics and governance enablement.

Qualifications

• Senior-level data platform engineer with Azure expertise.
• Deep knowledge of data warehousing, ETL/ELT and governance.
• Experience delivering Azure data solutions and Power BI analytics.

Responsabilités

• Assess and uplift Azure data platform components.
• Document dependencies across ingestion pipelines and semantic models.
• Migrate and optimise ETL/ELT processes for enterprise data.
• Develop and implement Azure data engineering solutions.
• Design reusable data products and medallion architectures.
• Develop and optimise Azure SQL objects and transformations.
• Support reporting and analytics via Power BI.

Connaissances

Data warehousing

Data migration

ETL/ELT design

Data transformation

Master/reference data

Data reconciliation

Data quality mgmt

Data governance

SQL development

T-SQL

Stored procedures

Data modelling

Performance tuning

API integration

Git/source control

Power BI (concepts)

Semantic models

DAX

Outils

Azure Data Factory

Azure SQL Database

Azure SQL Data Warehouse / Synapse

Azure Data Lake Storage

Azure Functions

Azure DevOps

Microsoft Fabric (desirable)

Description du poste

Security clearance: Must have baseline clearance

Location: Remote (Australia)

Duration: Initial 3-Month Contract

Security clearance: Must have baseline clearance

About the Opportunity

Powerdata Group is seeking an experienced Senior Azure Data Platform Engineer / Architect to support a major enterprise data platform uplift for a leading Australian financial services organisation.

The engagement involves working within an established Azure data platform and aligned data framework to uplift, standardise and migrate enterprise data assets, implement reusable data products and optimise analytics capabilities across the organisation.

This is a hands-on delivery role suited to a senior consultant who can operate independently, engage with business and technical stakeholders and deliver practical outcomes in complex enterprise environments.

Key Responsibilities

• Assess and uplift existing Azure data platform components.
• Analyse and document dependencies across ingestion pipelines, business rules and semantic models.
• Migrate and optimise ETL/ELT processes.
• Develop and implement Azure data engineering solutions.
• Design and deliver reusable data products.
• Implement and support medallion architecture patterns.
• Develop and optimise Azure SQL database objects and transformation logic.
• Support enterprise reporting and analytics capabilities through Power BI.
• Perform data validation, reconciliation and quality assurance activities.
• Contribute to technical documentation, operational runbooks and knowledge transfer activities.
• Participate in governance, risk management and stakeholder engagement activities.

Requirements

Essential Skills and Experience

Azure Data Platform

• Azure Data Factory (ADF)
• Azure SQL Database
• Azure SQL Data Warehouse / Azure Synapse Analytics
• Azure Data Lake Storage (ADLS)
• Azure Functions
• Azure DevOps
• Microsoft Fabric (desirable)
• DataOps and CI/CD deployment practices

Data Engineering

• Data warehousing
• Data migration programs
• ETL and ELT design
• Data transformation frameworks
• Master and reference data concepts
• Data reconciliation and testing
• Data quality management
• Data governance implementation

Reporting and Analytics

• Power BI
• Semantic models
• Tabular modelling
• DAX
• Enterprise reporting and dashboard solutions
• Performance optimisation

Technical Skills

• Advanced SQL development
• T-SQL
• Stored procedures
• Data modelling
• Performance tuning
• API and integration development
• Source control using Git