Cloud Data Solutions Architect
1 week ago
About the Job
- Data-Driven Culture.
- Ongoing Learning and Development Opportunities.
- Multi-Cloud Platform Expertise.
- Collaborate with Top Talent in the Industry.
- Flexible Work Arrangements Available.
- Immediate Start Date.
This Role Can Be Based Anywhere in Australia or New Zealand.
Company OverviewA leading Australian multi-cloud solution company, Firesoft People, aims to make technology accessible for their customers. With offices across Australia and New Zealand, they serve over 700 enterprise clients.
The company focuses on three key areas: Cloud and Infrastructure, Cyber Security, and Software and Data Integration. They support clients throughout their technology journey, from consulting to talent management.
An opportunity to work with innovative technologies and clients, this role also offers recognition and flexible work arrangements that suit your needs.
Job DescriptionThis role as a Data Engineer within the Apps & Data team will provide an opportunity to collaborate with practice teams to transform customer requirements into functional solutions.
As a Data Engineer, you will have the chance to mentor and work with engineers and software developers internally and externally.
Key Responsibilities:
- Work closely with Practice Leads and Solutions Architects to translate data-related customer needs into a suitable solution.
- Collaborate with stakeholders to translate business dilemmas into data-centric solutions that address functional, non-functional, and commercial concerns.
- Decompose business problems into testable hypotheses and identify relevant data assets to support evaluation.
- Interactively analyze and manipulate data using various data analysis and mining tools.
- Maintain and provide production support for corporate data warehousing applications.
- Suggest recommendations for collecting new data or refining existing sources and storage.
- Create and maintain optimal data pipeline architectures.
- Assemble large, complex data sets that meet business requirements.
The ideal candidate should possess:
- 3-5 years of experience in Data and Analytics projects.
- Experience supporting multiple customers across various platforms.
- Expertise in working within Agile environments.
- Proficiency in SQL.
- Experience with data visualization tools such as Tableau, PowerBI, HTML, Java, and DSJ3.
- Familiarity with public cloud data workloads, including Azure and AWS services like Amazon RedShift, Amazon EMR, Azure Synapse, AWS Glue, Azure Data Bricks, and Azure Data.
- Prior experience with machine learning and analytics workloads, preferably with Azure ML Studio and Amazon SageMaker.
- Demonstrated project ownership and ability to work from inception to delivery.
- Understanding of DataOps process-oriented methodologies to enhance data quality and reduce cycle time.
This role offers:
- Competitive salary plus bonus.
- Investment in certifications.
- Opportunity to work with a leading Multi-Cloud Solutions Provider.
- AWS Premier Partner.
- Collaboration with top industry professionals.
- Personal and professional development opportunities.
- Plus many more exciting benefits.
Estimated Salary: $120,000 - $180,000 per annum, depending on location and experience.
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