Data Modeller

Senior Data Modelller

About the Role:

We are seeking an experienced Senior Data Modeller to join our team. In this role, you will be responsible for designing and standardization of enterprise-wide data models across multiple domains such as Customer, Product, Billing, and Network. The ideal candidate will work closely with cross-functional teams to translate business needs into scalable and governed data structures. You will work closely with customers, and technology partners to deliver data solutions that address complex business requirements including customer experience management, network optimization, revenue assurance, and digital transformation initiatives.

Responsibilities:

• Design logical and physical data models aligned with enterprise and industry standards
• Create and maintain data models for Customer, Product, Usage, and Service domains
• Translate business requirements into normalized and analytical schemas (Star/Snowflake)
• Define and maintain entity relationships, hierarchy levels (Customer - Account - MSISDN), and attribute lineage
• Standardize attribute definitions across systems and simplify legacy structures
• Collaborate with engineering teams to implement models in cloud data platforms (e.g., Databricks)
• Collaborate with domain stewards to simplify and standardize legacy data structures
• Work with governance teams to tag attributes for privacy, compliance, and data quality
• Document metadata, lineage, and maintain version control of data models
• Support analytics, reporting, and machine learning teams by enabling standardized data access
• Design solutions leveraging Microsoft Azure and Databricks for telecom data processing and analytics

Qualifications:

• Bachelors or masters degree in computer science, Data Science, or a related technical field
• 7+ years of experience in data modelling roles
• Hands-on experience building data models and platforms
• Strong experience with data modeling tools (Erwin,Azure Analysis services, SSAS, dbt, informatica)
• Hands-on experience with modern cloud data platforms (Databricks, Azure Synapse, Snowflake)
• Deep understanding of data warehousing concepts and normalized/denormalized models
• Expertise in SQL, data profiling, schema design, and metadata documentation
• Familiarity with domain-driven design, data mesh and modular architecture
• Experience in large-scale transformation or modernization programs
• Knowledge of regulatory frameworks such as GDPR or data privacy-by-design