Job description: Data
Modeller
The purpose of this role is to design and develop project data models
that meet organizational needs and that is aligned to Enterprise information
model using conceptual, logical, and physical data models.
This role will contribute to the development and management of project
and enterprise data model, data modelling standards and processes, applying
them in the project delivery process to comply with Enterprise data policies
and guidelines.
Experience:
• Sound experience in a data modeller and/or similar
role and significant years of experience in IT
• Solid experience leading the creation of data model
and managing the project data modelling delivery
• Demonstrated experience in Azure or other
cloud-based data and analytics data platform
• Proven experience and competency in use of Erwin as
the data modelling tool.
• Broad expertise across data modelling capabilities,
principles and policies.
Skills:
• Extensive understanding of Logical Data Models,
Physical Data Models and Dimension Models and ability to deliver Logical Models
and Physical Designs.
• Intimate knowledge of data warehousing with respect
to various data methodologies, such as Data Vault, 3rd Normal Form, Kimball.
• Strong knowledge and experienced on industry
reference data model e.g., Teradata-FSLDM, IBM-Industry financial or utilities
model (or any other industry reference model) and have used industry data model
to deliver data model for a company.
• A deep understanding and experience of enterprise
modern data architecture patterns and processes
• Good understanding in creation and management of
data management principles, data modelling and data naming standards.
• Suitable understanding of data ingestion, data
consumption, data access & authorisation, ETL design and framework
knowledge.
• Clear written and verbal communications; able to
communicate with a wide range of people and to gather requirements, analytics
use cases.
• Collaborating with stakeholders, including business
analysts, data engineers, and developers to gather requirements refine data
models.
Additional notes
• Adaptability in working in multiple industry
segments with utilities industry being a preference
• Self-starter who can deal with organisational
ambiguity
• Collaborative and constructive with strong
communication and stakeholder management skills
• Highly proactive with exceptional integrity,
professionalism efficiency and accuracy
• Creativity and a passion for discovering and
adopting new ways of working
Qualifications,
licences, and certifications
• Bachelor’s Degree in computer science or equivalent
with demonstrated experience in delivery of data model and design for Data and
analytics project delivery.
• Either certification or proven experience in data
architecture / modelling using Industry model.
