
Chief Data Strategist
2 days ago
The Data Architect role is responsible for designing, implementing, and managing the data infrastructure framework with an emphasis on security and reliability. The primary objective is to meet the needs of reporting solutions that drive decision-making and improve performance across the business.
- Develop data models and pipelines to meet the needs of reporting solutions that drive decision making and improve performance across all departments of the business.
- Responsible for the data modelling, profiling, and pipeline development of the Analytical data asset.
- Ensure data practices integrate into overall data architectures and data management principles (e.g., data governance, data security, metadata, data quality).
- Collect, aggregate, analyze, and cleanse structured/unstructured data from multiple sources.
Key Responsibilities:
- Designing, implementing, optimizing, and managing the data infrastructure framework on Azure with an emphasis on security and reliability.
- Managing data infrastructure in a CI/CD (Continuous Integration/Continuous Development) pipeline with appropriate controls and documentation.
- Liaising with Reporting analysts and data analysts to ensure all pipelines are supported by the correct architectural implementation.
Essential Skills and Experience:
- Able to work at Senior-level capacity.
- Stakeholder management, project delivery skills as well as clear idea articulation.
- Strong analytical thinking and problem-solving skills with thought leadership and commercial awareness.
- Excellent communications skills required (verbal and written in English).
Qualifications:
- Minimum of 3-5 years experience as a Data Engineer, preferably in an Microsoft Azure environment.
- Tertiary qualifications - Bachelor in computer science, software development, information technology, or a related field.
- Strong knowledge of Azure, Data Factory or Synapse Pipelines & PowerBI.
- Azure Certification / Azure Developer Associate is required.
- A wide range of languages, including (but not limited to) SQL, Spark, Python.
This role offers opportunities for professional growth and development, working collaboratively with cross-functional teams to deliver high-quality solutions. If you are passionate about data engineering and want to make a meaningful impact, apply today
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