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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.
Data Modeling & Database Design
- 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.
Data Analysis & SQL
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.
Collaboration & Implementation
- 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.
Stakeholder Collaboration
- 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.**Solution
Architecture (GCP, SQL, Telecom)
- 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.
Required Skills
- 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).
Preferred Skills
- 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.
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.
The role leads and manages the team of data modelers, coordinating data modeling projects, ensuring the quality and consistency of data models, and collaborating with stakeholders to support organizational data management goals.
The base compensation range for this role in the posted location is $119,392 to $150,088.
Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.
The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.
These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.
It is not typical for candidates to be hired at or near the top of the posted compensation range.
In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.
Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
- 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
Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.
Disclaimers
Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.
Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
