Key Responsibilities

Data Modelling & Architecture

• Design and maintain conceptual, logical, and physical data models for enterprise data warehouse environments.
• Develop dimensional models including star and snowflake schemas for analytics and reporting.
• Translate business requirements into scalable data structures and warehouse solutions.
• Define and maintain enterprise data standards, modelling principles, and best practices.
• Ensure data models support performance, scalability, and future business growth.

Enterprise Data Warehouse Development

• Support the design and implementation of enterprise data warehouse solutions.
• Collaborate with data engineering teams to develop ETL/ELT processes.
• Optimize warehouse structures for reporting, analytics, and self-service BI.
• Identify opportunities to improve data integration and warehouse performance.

Data Governance & Quality

• Establish and enforce data modelling standards and governance frameworks.
• Maintain metadata, business glossaries, and data lineage documentation.
• Ensure data quality, consistency, and integrity across enterprise platforms.
• Support regulatory compliance and data management initiatives.

Stakeholder Engagement

• Partner with business units to understand data requirements and analytical needs.
• Facilitate workshops and requirements-gathering sessions.
• Provide guidance to technical teams regarding data architecture and modelling decisions.
• Present recommendations and solutions to senior management and stakeholders.

Leadership & Mentorship

• Mentor junior data modellers, analysts, and developers.
• Conduct design reviews and ensure adherence to architectural standards.
• Drive continuous improvement initiatives within the data management function.

Minimum Requirements

Education

• Bachelor's Degree in Computer Science, Information Systems, Data Science, Statistics, Mathematics, or a related field.
• Relevant certifications in data management, data architecture, or cloud platforms will be advantageous.

Experience

• 8+ years of experience in data warehousing and data modelling.
• 5+ years of experience designing enterprise-scale data models.
• Proven experience working in large, complex enterprise environments.
• Strong experience with dimensional modelling methodologies.
• Experience supporting enterprise reporting and analytics platforms.

Technical Skills

Essential

• Advanced data modelling expertise (Conceptual, Logical, Physical).
• Enterprise Data Warehouse (EDW) design and implementation.
• Dimensional Modelling (Kimball methodology).
• Data Vault modelling experience.
• SQL and advanced database design.
• ETL/ELT frameworks and data integration.
• Metadata management and data governance.
• Data quality management principles.

Database Technologies

• SQL Server
• Oracle
• PostgreSQL
• Teradata
• Snowflake
• Amazon Redshift
• Google BigQuery
• Azure Synapse Analytics

Cloud Platforms

• Microsoft Azure
• Amazon Web Services (AWS)
• Google Cloud Platform (GCP)

Data & Analytics Tools

• Power BI
• Tableau
• Qlik Sense
• Informatica
• Talend
• dbt
• Alteryx

Key Competencies

• Strategic Thinking
• Data Architecture Design
• Problem Solving
• Stakeholder Management
• Business Analysis
• Leadership & Mentoring
• Communication & Presentation Skills
• Attention to Detail
• Analytical Thinking
• Project Delivery

Preferred Qualifications

• Experience implementing Data Vault 2.0 methodologies.
• Experience with Master Data Management (MDM).
• Knowledge of data governance frameworks.
• Exposure to Agile delivery methodologies.
• Experience within financial services, telecommunications, retail, healthcare, or large enterprise environments.