Chief Cloud Data Solutions Architect

1 day ago

Sydney, New South Wales, Australia beBeeDataEngineering Full time $110,000 - $140,000
Job Description

We are seeking an experienced Data Engineer to join our team on a 12-month contract. The successful candidate will be responsible for designing, implementing and managing secure and scalable data solutions.

The primary focus of this role is the design, build and implementation of our new cloud-based data platform. This involves working closely with business stakeholders to develop a new data model, understand and apply complex business rules, and ensure their accurate reflection in downstream reporting.

You will also be responsible for designing and building robust ETL/ELT processes that support trusted, scalable data pipelines, and ensuring the quality, integrity and availability of information to support our strategic analytics and operational objectives.

Main Responsibilities:

  • Design & Build: Architect, develop and maintain scalable and robust data pipelines and ETL/ELT processes for our new cloud data platform.
  • Drive the Migration: Play a key role in the strategic planning and hands-on execution of migrating data from on-premises sources (SQL Server and a number of source systems) to the cloud Snowflake with a Fabric front end.
  • Optimise Performance: Monitor, troubleshoot and optimise data pipelines to ensure data quality, reliability and performance.
  • Collaborate & Innovate: Work closely with technology and business stakeholders to understand their needs and deliver high-quality data solutions.
  • Ensure Best Practices: Implement and advocate for data engineering best practices in data modelling, data governance and security.
Required Skills and Qualifications

To be successful in this role, you will need to have a Bachelor's degree in Computer Science, Data Engineering, Information Technology or related field, as well as proven experience as a Data Engineer with a strong focus on cloud data solutions.

Essential skills include hands-on experience with Snowflake or Microsoft Fabric, demonstrated success in migrating data from on-premises databases to a cloud data warehouse, proficiency in Power BI, SQL and a scripting language like Python, solid understanding of ETL/ELT principles and experience with data integration tools, familiarity with major cloud platforms such as Azure, AWS or GCP, knowledge of data governance, data security and compliance best practices, and a strong understanding of cloud cost management.

Benefits

As a valued member of our team, you can expect a range of benefits including a competitive salary, flexible work environment, diverse workplace with a passion for encouraging and supporting inclusiveness, wellbeing programs, continuous learning and professional development opportunities, and additional paid leave over the December end of year holidays.

Others

If you are a motivated and detail-oriented individual with a passion for data engineering, we would love to hear from you.

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