Chief Data Solutions Engineer

2 weeks ago

Sydney, New South Wales, Australia beBeeDataArchitect Full time $200,000 - $245,000
Data Architectural Specialist

We are seeking an experienced professional with robust data modelling expertise and technical business analysis skills to design and implement scalable data solutions. This hybrid role involves engaging stakeholders, translating business needs into actionable technical requirements.

Key Responsibilities:
  • Data Modelling
    • Develop optimized data models (conceptual, logical, physical) using Erwin or similar tools for efficient data processing and retrieval.
    • Apply dimensional and relational modelling techniques for analytics and reporting, ensuring data integrity and security.
    • Manage data warehouse architecture for seamless data accessibility and minimal latency.
    • Optimize stored procedures for efficient data processing and retrieval.
    • Create interactive dashboards and reports with Power BI for actionable insights.
  • Technical Business Analysis
    • Document technology requirements from business stakeholders, especially for Big Data applications, aligning with industry standards.
    • Understand and interpret Big Data application architecture for solution design, considering scalability and flexibility.
    • Provide detailed walkthroughs of requirements to development and testing teams, ensuring a thorough understanding.
    • Review functional specifications and test strategies from a technical perspective, identifying potential risks and mitigants.
    • Ensure data solutions comply with regulatory requirements, maintaining confidentiality and data protection.
Requirements:
  • Experience in data modelling and technical business analysis, preferably in banking or insurance sectors.
  • Strong proficiency in Power BI, SQL, Teradata, stored procedures, and cloud platforms such as Azure, AWS, or GCP.
  • Technical expertise in Spark, Hive, HBase, Apache Phoenix, Pig, Python, Scala, Java, Unix, Shell Scripting, Oracle, and related technologies.
  • Excellent analytical skills handling confidential data in multi-cluster environments, with a strong focus on data security and compliance.
  • Effective communication and stakeholder management skills, with the ability to translate technical requirements into business language.

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