Job Location
This is a hybrid role based in Richmond VA.
About the job youre considering
Capgemini is seeking an Enterprise Data Architect to join our I&D team in Richmond, VA. The successful candidate will lead the development, governance, and evolution of the enterprise data architecture strategy across customer, consumer, manufacturing, and supply chain domains. This role is responsible for aligning business objectives with data platforms, analytics capabilities, and emerging AI solutions, while promoting scalability, security, and enterprise-wide standardization.
Your role
- 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
- 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
Skills and experience
- Bachelors or Masters degree in Computer Science, Engineering, or related field
- 12+ years of experience in enterprise data architecture
- Deep experience with customer, manufacturing, or supply chain domains
- Strong stakeholder influence and architecture governance leadership.
- Architecture Patterns: Lakehouse, Data Mesh, Event-Driven Architecture
- Data Platforms: Snowflake, Azure Synapse, Databricks
- Integration & Streaming: Kafka, Event Hubs, API Management
- Analytics & BI: Power BI, Tableau, Looker
- Governance & Security:Microsoft Purview, Collibra, IAM, encryption frameworks
The base compensation range for this role in the posted location is: $141,420 - $235,035.
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
