Enterprise Data Architect

Role Summary

The Enterprise Data Architect is responsible for defining, governing, and evolving the enterprise‑wide data architecture strategy across customer, consumer, manufacturing, and supply chain domains. This role ensures strong alignment between business strategy, data platforms, analytics, and emerging AI capabilities, while enabling scalability, security, resilience, and standardization across the enterprise.

The architect will serve as a strategic partner to business and technology leaders, driving modern data architecture into adoption and enterprise data governance.

Your Role:

• Define and maintain enterprise data architecture principles, standards, and target‑state roadmaps
• Design end‑to‑end data architectures, including data ingestion, storage, processing, analytics, and AI enablement
• Partner with business, analytics, and IT stakeholders to translate strategic objectives into scalable data solutions
• Provide architectural governance across multiple programs and enterprise initiatives
• Establish standards for data integration, Master Data Management (MDM), metadata management, and data quality
• Evaluate, select, and standardize cloud‑based data, analytics, and AI platforms
• Ensure compliance with security, privacy, regulatory, and resiliency requirements
• Identify, design, and implement automation opportunities across data platforms
• Introduce and implementing emerging technologies and innovative architecture concepts

Technology Stack (Representative)

Cloud Platforms

• Microsoft Azure

Architecture Patterns

• Lakehouse Architecture
• Data Mesh
• Event‑Driven Architecture

Data Platforms

• Snowflake
• Azure Synapse Analytics
• Databricks

Integration & Streaming

• Apache Kafka
• Azure Event Hubs
• API Management

Analytics & BI

• Power BI
• Tableau
• Looker

Governance & Security

• Microsoft Purview
• Collibra
• Identity and Access Management (IAM)
• Data encryption and security frameworks

AI & Advanced Analytics (Preferred)

• Define and implement enterprise AI and advanced analytics architectures
• Hands‑on experience with ML platforms, MLOps, and AI lifecycle governance
• Strong understanding of Generative AI, LLMs, and responsible AI adoption
• Apply AI solutions to demand planning, customer insights, intelligent manufacturing, and supply chain optimization

Required Qualifications

• Bachelor’s or master’s degree in computer science, Engineering, or a related field
• 12–16+ years of experience in enterprise data architecture and large‑scale data platforms
• Deep domain experience in customer, manufacturing, or supply chain data landscapes
• Proven leadership in architecture governance, stakeholder influence, and enterprise transformation initiatives
• Strong communication skills with the ability to influence executive and senior leadership

Compensation

The base compensation range for this role in the posted location is: $188,000 to $202,000.

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.

Benefits

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.