
Lead Data Modeller
New York, NYFull-time$125–135K/yrSeen todaySeen in employer's feed today
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Job overview
Capgemini seeks a Lead Data Modeller to design business-ready data solutions, with a focus on semantic and multidimensional modeling and consumption-layer architecture. The role develops analytics-ready models and Gold/Consumption data products within a Medallion Architecture, integrating multiple sources. The modeller translates business requirements into reusable models and collaborates with business, analytics, and engineering teams to support reporting, data consumption, governance, quality, and deployment processes.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
Lead Data Modeller
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.
Job Description
Role Summary
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Seeking an experienced Data ModelerData Architect to design businessready data solutions with a strong focus on semantic modeling multidimensional modeling and consumptionlayer architecture The ideal candidate will excel at integrating stitching data from multiple sources into scalable trusted and analyticsready data models Key Responsibilities
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Design and implement semantic and dimensional data models supporting enterprise analytics and reporting
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Develop and maintain GoldConsumption layer data products within a Medallion Architecture
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Translate business requirements into scalable reusable data models and semantic layers
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Collaborate with business analytics and engineering teams to enable selfservice reporting and data consumption
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Support data governance quality and CICD deployment processes for semantic models Required Qualifications
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8 years of overall experience including Data Modeling Data Architecture or Data Engineering
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5 years of handson experience designing dimensional models StarSnowflake schemas Semantic models for data consumption
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3 years of experience with Snowflake in enterprisescale environments
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Proven experience designing and implementing GoldConsumption layer solutions within a Medallion Architecture
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Strong SQL skills with experience developing and optimizing complex analytical datasets
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Experience integrating data from multiple source systems into unified businessready models
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Demonstrated ability to work directly with business stakeholders to define metrics dimensions hierarchies and semantic models Preferred Qualifications
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2 years of Python development experience
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Experience with DevOpsCICD practices and versioncontrolled deployments
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Experience with YAMLbased semantic modeling frameworks
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Knowledge of Snowflake query tuning and performance optimization Must Have Skills
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Semantic Data Modeling
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MultiDimensional Modeling
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Data Architecture
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Medallion Architecture Gold Layer
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Snowflake
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SQL
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Business Data Consumption Analytics Ideal Candidate
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A handson data architectmodeler with a proven track record of delivering businessready semantic models and consumption layers capable of transforming complex data ecosystems into intuitive trusted and scalable analytical assets
The base compensation range for this role in the posted location is: 125,000 - 135,000
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:
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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
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Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
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Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
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Life and disability insurance
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Employee assistance programs
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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.
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.
Ref. code: 591243
Posted on: Nov 3, 2026
Experience Level: Experienced Professionals
Contract Type: Permanent
Location:
New York, NY, US
Brand: Capgemini
Professional Community: Data & AI
Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. 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.
How this job compares
Set against the 1,624 open Data Architect jobs on Olive Jobs, counted November 4, 2026.
- Pay
- This posting$125–135K/yr
- New York median$138–230K/yr71 salary ranges
- US median$132–229K/yr1,333 salary ranges
This range's midpoint, $130K, is 32% below the New York median midpoint ($191K) — in the lowest quarter of Data Architect salary ranges in New York.
- Openings
- Olive Jobs lists 96 open Data Architect jobs in New York and 1,624 across the US. 13% of them nationwide are listed as remote or flexible.
- Experience
- This posting asks for at least 8 years of experience; Data Architect postings that state a minimum ask for 8 years at the median (1,491 postings).
- Education
- 493 of the 1,624 open Data Architect jobs (30%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 4, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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