Data Modeler

Experienced Data Modeler and Analyst with a strong background in the telecom domain and deep expertise in Google Cloud Platform (GCP). Responsible for leading end-to-end solution design, building scalable data models, and driving architectural decisions to support complex telecom data ecosystems.

Data Modeling & Database Design

• Develop robust conceptual, logical, and physical data models for telecom datasets, including:
• Call Detail Records (CDRs)
• Network performance metrics
• Service assurance
• Customer 360
• Billing
• Provisioning
• Optimize data models for high-performance analytics in BigQuery and cloud-scale environments.
• Collaborate with ETL/ELT teams to translate data models into efficient, scalable implementations.
• Maintain comprehensive data documentation, including data dictionaries, data lineage, and metadata.
• Ensure data integrity, consistency, and performance across all data pipelines and systems., * Write complex SQL queries for data validation, profiling, and transformation of telecom datasets.
• Ensure data models support efficient querying, reporting, and analytics use cases.
• strong SQL and analytical skills to support solution design and data-driven decision-making., * Design and support the delivery of end-to-end data solutions on GCP aligned with telecom business and technical requirements.
• Establish design standards, frameworks, best practices, and reusable design patterns for telecom workloads.
• Conduct architecture and design reviews, ensuring compliance with enterprise standards.
• Drive modernization initiatives to migrate legacy systems to cloud-based platforms.
• Make architectural decisions that enhance scalability, performance, and maintainability.

Collaboration & Implementation

• Collaborate with data engineers and ETL/ELT teams to implement scalable data pipelines.
• Work closely with business stakeholders and analysts to translate business requirements into effective data models.
• Participate in design reviews and ensure alignment with enterprise data architecture standards.

Stakeholder Engagement

• Partner with business stakeholders, product owners, and engineering teams to gather requirements and deliver scalable data solutions.
• Clearly communicate architectural decisions, trade-offs, and solution designs to both technical and non-technical audiences.
• Lead and facilitate technical workshops, architecture discussions, and data model review sessions.

• Strong experience in conceptual, logical, and physical data modeling.
• Advanced proficiency in SQL and data analysis.
• Hands-on experience with GCP services, including:
• BigQuery
• Cloud Storage
• Dataflow
• Strong understanding of telecom data domains, including CDRs, network, billing, and customer data.
• Knowledge of data warehousing concepts and dimensional modeling (star and snowflake schemas).

Preferred Skills

• Experience with real-time data processing technologies such as Kafka and Google Pub/Sub.
• Understanding of TM Forum standards, including SID and eTOM.
• Experience with cloud migration initiatives (on-premises to GCP).
• Exposure to AI/ML use cases within telecom analytics

3.73.7 out of 5 stars Remote $39.86 - $62.29 an hour - Contract, Pulled from the full job description

• Retirement plan
• Vision insurance
• Dental insurance, The pay range that the employer in good faith reasonably expects to pay for this position is $39.86/hour - $62.29/hour. Our offered benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.