Senior Data Modeller

CapgeminiMississauga, ON
$119,392 - $150,088

About The Position

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Experienced Data Modeler and analyst with a strong background in the telecom domain and deep expertise in Google Cloud Platform (GCP). This role is responsible for leading end-to-end solution design, building scalable data models, and making architectural decisions to support complex telecom data ecosystems. The role plays a key role in designing and maintaining data models that align with the organization's business requirements, enhance data quality, and facilitate efficient data processing and analysis.

Requirements

  • Strong experience in data modeling (conceptual, logical, physical).
  • Proficiency in SQL and data analysis.
  • Hands-on experience with GCP tools such as BigQuery, Cloud Storage, and Dataflow.
  • Knowledge of telecom data domains (CDR, network, billing, customer).
  • Familiarity with data warehousing concepts and dimensional modeling (star/snowflake schemas).

Nice To Haves

  • Experience with real-time data processing (Kafka, Pub/Sub).
  • Understanding of TM Forum standards (SID, eTOM).
  • Experience in cloud migration projects (on-prem to GCP).
  • Exposure to AI/ML use cases in telecom analytics.

Responsibilities

  • Develop robust conceptual, logical, and physical data models for telecom datasets, including CDRs, network performance metrics, service assurance, customer 360, billing, and 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, lineage, and metadata.
  • Ensure data integrity, consistency, and performance across all pipelines and systems.
  • Perform detailed data analysis to understand source systems and business requirements.
  • Write complex SQL queries for validation, profiling, and transformation of telecom datasets.
  • Ensure models support efficient querying, reporting, and analytics use cases.
  • Collaborate with data engineers and ETL/ELT teams to implement scalable data pipelines.
  • Work with business stakeholders and analysts to translate requirements into data models.
  • Participate in design reviews and ensure alignment with enterprise data architecture.
  • 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 & facilitate technical workshops, architecture discussions, and data model review sessions.
  • Design and help deliver end-to-end data models and solutions on GCP aligned with telecom business needs and technical requirements.
  • Establish design standards, frameworks, best practices, and reusable design patterns for telecom workloads.
  • Help in design and architecture reviews, ensure compliance with enterprise standards, and drive modernization initiatives from legacy systems to cloud-based platforms.
  • Apply strong SQL and analytical skills to support solution design and data-driven decision-making.

Benefits

  • Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
  • Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
  • Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
  • Life and disability insurance
  • Employee assistance programs
  • Other benefits as provided by local policy and eligibility
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