The Data Architect is responsible for the design and management of an organisation's data infrastructure. This includes creating data models, selecting and configuring database management systems, and developing processes for data integration and ECTL.
Key Responsibilities:
- Define the data requirements and structure for the application, ensuring alignment with business objectives and data governance policies.
- Model and design the application data structure, considering factors such as scalability, performance, and security.
- Collaborate with cross-functional teams to gather and analyze data requirements, ensuring data integrity and consistency.
- Develop data integration strategies and solutions, ensuring seamless data flow between different systems and applications.
- Implement data governance practices and standards, ensuring compliance with regulatory requirements and industry best practices.
- Define and document the data process flows, ensuring data types align with overall architecture principles.
- Responsible for design and implementation of data modelling and data architecture for various methodologies such as DataFactory, Kimball, Inmon, DataMesh, DataVault 2.0, LakeHouse, Data Lake, and Medallion Architecture.
- Design ECTL/ETL, Data Ingestion, Data Validation, and Data Quality in the data pipeline.
- Prepare the data dictionary and data catalogue related to the data model.
- Apply technical knowledge to architect and design solutions that meet business and IT needs.
- Analyze business and proposal data and technical requirements to develop a wide range of data-related solutions in cloud and traditional technologies.
- Participate in the design, development, planning, modification, and/or improvement of existing data and analytical systems.
- Research system designs, concepts, feasibility, and enhancement solutions utilizing advanced technical theory and knowledge.
- Maintain awareness of new developments in AI and Data technology and apply them to enterprise solutions as relevant.
Minimum Qualifications:
- Proven experience in Data Integration, Data Architecture, Master Data Management, Metadata Management, Data Delivery Architecture, Data Modeling, Data Quality, and Content Management.
- Expertise in database management systems (e.g., SQL, MySQL, GraphDB, MongoDB, PostGIS).
- Good understanding and hands-on experience with market-leading ETL/BI tools.
- Knowledge in SQL and Python.
- Methodology experience in Agile, DMBOK, DataOps, MLOps.
Collaboration and Reporting:
- Collaborate with business to define and compile data architecture requirements to align with smart city goals.
- Provide weekly and monthly management and status reports in accordance with the AS-IS and TO-BE data architecture requirements.
- Engage with stakeholders to understand their data requirements and coordinate with Enterprise and Data Architecture for a broader understanding of architectural components.
- Lead as an ambassador and executor of change, managing the integration of development into a seamless end-to-end customer experience.
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