Principal Data Architect

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Prinicipal Chief Data Architect is responsible for defining and governing the enterprise data architecture strategy, with a strong emphasis on Microsoft Azure and Microsoft Fabric as core components of the data platform ecosystem. This role ensures data architecture enables scalable analytics, AI, customer insight, and regulatory compliance while driving modernization and long-term value realization. The role operates as a trusted technical and strategic partner to executive leadership. 

 Key Responsibilities                                                                                                                                                                                                                                 

Enterprise Data Strategy & Architecture

- Define and own the enterprise data architecture vision, principles, and target-state roadmap aligned to business strategy.                                                                                                   

- Establish architectural standards leveraging  Azure data services and Microsoft Fabric for analytics, integration, and AI.                                                                                                                                                                         

- Ensure architectural decisions balance scalability, cost, security, and agility.                                                                                                                                                                                                                                             

Business & Executive Partnership 

- Partner with C-suite, business leaders, and domain owners to translate strategic priorities into data architecture capabilities.                                                                                                        -

Advise leadership on data investment decisions, trade-offs, and long-term implications.                                                                                                                                                                                                                             

- Act as a trusted authority on how data architecture enables revenue, efficiency, and risk reduction.                                                                                                                                                                                                           

Data Platform & Modernization Oversight

- Guide design and evolution of cloud/on-prem/hybrid data platforms.                                                                                                                                                                                     

- Define patterns for ingestion, transformation, analytics, ML/AI, and data sharing.                                                                                                                                                                                                                               

- Ensure platforms are production-ready, resilient, and cost-optimized. 

Governance, Trust & Risk Management

- Architect enterprise approaches to data governance, quality, lineage, metadata, privacy, and security.                                                                                                                                   

- Ensure compliance with regulatory and industry requirements. 

-Champion trusted, auditable data as a foundational enterprise asset. 

Operating Model & Enablement

- Define the data architecture operating model, including decision rights, standards, and engagement with delivery teams.                                                                                                                     

- Provide architectural guidance and guardrails without slowing delivery.                                                                                                                                                                                                                                                       

 - Mentor senior architects and elevate data architecture maturity across teams.                                                                                                                                                                                                                                           

Required Experience & Qualifications

Experience - 12+ years in data architecture, with significant experience at enterprise scale (Azure and Fabric focus)-

Proven leadership in data platform strategy, modernization, or transformation

- Experience influencing decisions at executive and board levels

- Hands-on understanding of analytics, cloud data platforms, and data governance

Technical Depth

- Enterprise data architecture (conceptual, logical, physical) 

- Cloud data platforms and modern integration patterns

- Analytics, BI, AI/ML enablement architectures

- Data governance, security, privacy, and compliance

- SDLC and production-grade data delivery

Leadership & Mindset

- Strategic thinker with strong execution orientation 

- Able to influence without direct authority

- Communicates complex concepts clearly to technical and non-technical audiences

- Pragmatic, outcome-focused, and business-driven 

The base compensation range for this role in the posted location is $179,624 to $269,436.

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.