Design and maintain data models in the telecom domain, collaborate with stakeholders to understand data requirements, and implement data governance standards.
ob Summary:
We are seeking an experienced Data Modeler with a strong telecom industry background to join our data engineering team. The ideal candidate will have deep domain knowledge in telecom business processes (BSS/OSS), data flows, and KPIs, and will be responsible for designing, developing, and maintaining logical and physical data models that support our enterprise data initiatives.
Key Responsibilities:- Design, implement, and maintain conceptual, logical, and physical data models using industry best practices.
- Collaborate with business stakeholders and subject matter experts in the telecom domain to understand data requirements (e.g., customer data, CDRs, usage, network, billing, CRM).
- Analyze existing data systems and data flows to identify gaps, redundancies, and areas for improvement.
- Create and maintain data dictionaries, metadata repositories, and data lineage documentation.
- Work closely with ETL developers, data architects, and data analysts to ensure models are implemented as designed.
- Ensure data models are optimized for performance, maintainability, and scalability.
- Define and enforce data governance and data quality standards across telecom datasets.
- Support data warehouse and data lake design initiatives (e.g., Snowflake, Redshift, BigQuery).
Required Skills & Experience:
- 4+ years of experience in data modeling
- Experience in telecom industry.
- Strong understanding of telecom data domains: Subscriber, Usage, Billing, Network, Products, Services, CRM, etc.
- Hands-on experience with data modeling tools such as Erwin, PowerDesigner, ER/Studio, or similar.
- Proficiency in SQL, data profiling, and metadata management.
- Experience with data warehousing concepts, dimensional modeling (Kimball/Inmon), and star/snowflake schemas.
- Familiarity with ETL processes and data integration tools (e.g., Informatica, Talend, Apache NiFi).
- Experience working in cloud data platforms (AWS, GCP, Azure) is a plus.
- Knowledge of BSS/OSS systems like Amdocs, Netcracker, Ericsson, etc., is highly desirable.
- Telecom certifications or training (e.g., TM Forum, eTOM, SID models).
- Experience with big data technologies (e.g., Spark, Hive, Kafka).
- Knowledge of data governance frameworks and tools (e.g., Collibra, Alation).
- Strong communication and stakeholder engagement skills.
Top Skills
Alation
Apache Nifi
AWS
Azure
BigQuery
Collibra
Er/Studio
Erwin
GCP
Hive
Informatica
Kafka
Powerdesigner
Redshift
Snowflake
Spark
SQL
Talend
Unison Consulting Singapore Office
1 Changi Business Park Crescent, , Plaza 8 #03-06 Tower A, Singapore, , Singapore, 486025
Unison Consulting Singapore Office
#12-00, 63 Market Street, Bank of Singapore Center, Singapore, , Singapore, 048942
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