Data standards, governance policies, and best practices
Metadata structures
The role is responsible for developing and maintaining the data architecture across Data analytics platforms and applications, along with liaising with Architecture that includes the activities required for data flow design, data modelling, physical data design, query performance optimization
Job Summary
The role is responsible for developing and maintaining the data architecture across Data analytics platforms and applications, along with liaising with Architecture that includes the activities required for data flow design, data modelling, physical data design, query performance optimization.
The Data Modeler architect drives cross-functional data interoperability, enables efficient decision-making, and supports AI usage of Foundational Data.
Evaluate and recommend technologies and tools that best fit the solution requirements and drive continuous improvement in the architecture by identifying opportunities for innovation and efficiency.
Matching Summary
The role is responsible for developing and maintaining the data architecture across Data analytics platforms and applications, along with liaising with Architecture that includes the activities required for data flow design, data modelling, physical data design, query performance optimization.
Skills & Requirements
Must-have
conceptual, logical, and physical data models
data standards, governance policies, and best practices
metadata structures
Databricks, Apache Spark (PySpark, SparkSQL)
data testing and data quality strategies
Nice-to-have
Graph technologies such as Stardog, Allegrograph, Marklogic
Key Requirements
Doctorate Degree OR Master's degree with 4 - 6 years of experience
Bachelor's degree with 6 - 8 years of experience
Diploma with 10 - 12 years of experience
Proficiency in creating conceptual, logical, and physical data models
Ability to interview and communicate with business Subject Matter experts
Knowledge of metadata standards, taxonomies, and ontologies
Hands on experience with big data technologies and platforms
Implementing Data testing and data quality strategies