Enterprise Data Architect

Capgemini; Richmond (VA); On-site; USD 99,000 - 155,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

Retirement benefits

Job summary

Capgemini in the United States seeks an Enterprise Data Architect to define, govern, and evolve the enterprise data architecture strategy across customer, manufacturing, and supply chain domains. You’ll align business strategy with data platforms, analytics, and emerging AI capabilities while driving security and standardization.

Lead end-to-end data architectures, establish MDM and data quality standards, and govern programs across the enterprise.

Qualifications

• Bachelor’s or Master’s degree in CS/Engineering or related field.
• 12–16+ years of experience in enterprise data architecture.
• Deep experience with customer, manufacturing, or supply chain domains.
• Strong stakeholder influence and architecture governance leadership.

Responsibilities

• Define enterprise data architecture principles, standards, and roadmaps.
• Design end-to-end data architectures covering ingestion, storage, processing, analytics, and AI.
• Provide architectural governance across programs and initiatives.
• Evaluate and standardize cloud-based data and analytics platforms.

Skills

Stakeholder influence

Architecture governance

Data architecture

AI/ML understanding

Education

Bachelor’s or Master’s degree in CS/Engineering

Tools

Kafka

Event Hubs

API Management

Power BI

Tableau

Job description

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 alignment between business strategy, data platforms, analytics, and emerging AI capabilities while driving scalability, security, and standardization.

Key Responsibilities:

Define enterprise data architecture principles, standards, and target-state roadmaps

Design end-to-end data architectures covering ingestion, storage, processing, analytics, and AI

Partner with business, analytics, and technology leaders to translate strategic objectives into scalable data solutions

Provide architectural governance across multiple programs and initiatives

Establish standards for data integration, master data management (MDM), metadata, and data quality

Evaluate, select, and standardize cloud-based data and analytics platforms

Ensure compliance with security, privacy, regulatory, and resiliency requirements

Identify and Implement Automation

Bring in new or Emerging Technology concepts and implement

Identify Business Use cases across the

Architecture Patterns: Lakehouse, Data Mesh, Event-Driven Architecture

Integration & Streaming: Kafka, Event Hubs, API Management

Analytics & BI: Power BI, Tableau, Looker

Governance & Security: Microsoft Purview, Collibra, IAM, encryption frameworks

AI & Advanced Analytics (Preferred):

Defining enterprise AI and advanced analytics architectures

Experience with ML platforms, MLOps, and AI lifecycle governance

Understanding of generative AI, LLMs, and responsible AI adoption

Applying AI to demand planning, customer insights, intelligent manufacturing, and supply chain optimization

Qualifications:

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

12–16+ years of experience in enterprise data architecture

Deep experience with customer, manufacturing, or supply chain domains

Strong stakeholder influence and architecture governance leadership

The pay range that the employer in good faith reasonably expects to pay for this position is $72.12/hour - $112.68/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.

Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.