Job Description :
We are looking for a Senior Data Modeler with deep experience in telecom industry data modelling and a strong background in large-scale data warehouse implementations. The ideal candidate will have 12-15 years of hands-on experience in designing conceptual, logical, and physical data models, along with an understanding of semantic layer design for BI consumption and self-service analytics enablement.
The role will be part of a critical project implementing the PI Telecom Data Model, so familiarity with this model is a significant Responsibilities :
- Design, maintain, and review enterprise data models across telecom domains (customer, usage, CDRs, billing, product catalog, network KPIs).
- Translate complex telecom business requirements into scalable and reusable data structures.
- Review and validate vendor-delivered data models, ensuring alignment with business logic, performance goals, and governance standards.
- Support the implementation of the PI Telecom Data Model and ensure its integration with internal systems.
- Design and document semantic layers to support enterprise BI tools (Power BI, Tableau, MicroStrategy), enabling governed self-service analytics.
- Ensure consistency, integrity, and traceability of data across systems by maintaining metadata and data dictionaries.
- Collaborate with data engineers, architects, and reporting teams to implement and optimize models on on-premises data warehouses and data lakes.
- Enforce modelling standards, naming conventions, and data governance Skills & Experience :
- 12-15 years of experience in data modelling, including extensive telecom domain experience.
- Strong practical knowledge of telecom data such as BSS / OSS, CRM, usage, billing, network performance, and product lifecycle.
- Expertise in dimensional and relational modelling for large-scale data warehouses.
- Proficiency in data modelling tools : Erwin, Power Designer, or ER / Studio.
- Experience in designing and optimizing semantic layers for BI platforms to support enterprise reporting and self-service.
- Familiarity with MPP database platforms like Greenplum, Teradata, or similar.
- Strong SQL and data analysis skills, with excellent attention to model accuracy and performance.
- Excellent collaboration and communication Skills :
- Knowledge or prior experience with the PI Telecom Data Model is a strong plus.
- Familiarity with TM Forum SID or other telecom reference models.
- Experience in agile delivery environments and working with cross-functional teams.
- Exposure to data governance frameworks, data quality, and metadata tools (e.g., Informatica, Collibra, Alation).
- Understanding of cloud or hybrid data architectures is a plus.
(ref : hirist.tech)