Data Architecture 2022
Provide feasibility analysis and detailed solutioning approach for any new
Data Management & BI platform.
Develop and capture data platform business, functional and technical
requirements to feed into the platform implementation.
Model data requirements based on business inputs and requirements into
conceptual and logical data models.
Develop and implement key components as needed and create testing criteria
in order to guarantee the fidelity and performance of data management
Ensure new data solutions including master data and reference data
architecture design, data classification is in alignment with overall data
architecture design principles and guidelines.
Develop mapping of data from source to target including the definition of
transformation rules based on business requirements to support ETL.
Update conceptual and logical data model designs based on the refinement
and changes to support scalability and agility.
Design semantic model and views in optimal manner to support reporting requirements.
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