Overview
As a Data Architect, you will be responsible for overseeing the development and technical implementation of SG Fleet's data platform strategy aligned with business objectives.
The strategy includes data model designs, database development standards, and the implementation and management of data warehouses, data lake and data analytics systems.
Responsibilities
Provide expertise in designing, creating, deploying and managing SG Fleet's data architecture.
Define how data should be stored, consumed, integrated and managed by different data entities and IT systems, as well as any applications using or processing that data.
Express strategic data requirements, outline high-level integrated designs to meet these requirements, and align with organisational strategy and related business architecture.
Establish and continuously improve efficient operating models to support a global, federated, domain-oriented data and analytics organisation.
Establish and continuously improve guidelines and guardrails to support governance of quality, non-functional requirements, security and adherence to architectural standards.
Define and manage the flow of data and dissemination of information within the organisation.
Collaborate with platform and solution delivery architects to ensure the data analytics platform architecture serves the ongoing and strategic business objectives of multiple lines of business.
Provide guidance and continuously review data and analytics solution designs across delivery teams to ensure consistent implementations of architecture standards and scalability of technical solutions.
Skills and Experience
Essentials
Proven experience in data/application architecture, Cloud Solutions with emerging technologies, Big Data, Data Modeling, Data Architecture, Data Warehousing and Business Intelligence.
Extensive experience in data modelling (Relational, Dimensional, Star Schema, OLAP Cubes, and Bus Matrix Mapping).
Ability to manage large data sets, cloud computing, open-source tools, and optimization techniques.
Background in data and analytics initiatives in enterprise environments.
Hands-on experience with Azure Data Factory, Azure Data Bricks, Delta Lake, Azure Synapse Analytics.
Understanding of modern data architecture and experience with core data services like data lakes, data warehouses, data marts, relational and dimensional modelling, data quality and master data management.
Desirable
Broad business experience in complex enterprise environments, ideally within financial services and/or logistics.
Experience with Atlassian suite (Jira, Confluence).
Benefits
Recharge and relax with up to four extra days of leave each year (Wellness days).
Industry-leading 20 weeks of paid parental leave.
Vehicle salary packaging options to save costs.
Monetary service milestone awards.
Recruitment referral bonus.
Discounted mobility products and services.
Flexible work arrangements.
Career progression opportunities.
Education support with an individual learning budget per year, free access to LinkedIn Learning and more.
Two paid volunteer days each year to support causes that matter to you.
Health and well-being support including a subsidy and an Employee Assistance Program.
What's Next
We're an equal-opportunity employer.
Resumes may be submitted and interviews may take place before the application close date.
To improve your chances, do not rely solely on the close date.
A pre-employment screening will be required for the successful applicant.
Role Details
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Information Technology
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Location: Sydney, NSW, Australia (Millers Point and nearby areas).
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