Enterprise Data Architect

Capgemini • Bridgewater, NJ

3d • Hybrid

About The Position

Capgemini is seeking an Enterprise Data Architect to join its I&D team in Richmond, Virginia. This hybrid role leads the development, governance, and evolution of enterprise data architecture strategy across customer, consumer, manufacturing, and supply chain domains. The architect aligns business objectives with data platforms, analytics capabilities, and emerging AI solutions while promoting scalability, security, and enterprise-wide standardization.

The role includes defining enterprise AI and advanced analytics architectures and applying AI to demand planning, customer insights, intelligent manufacturing, and supply chain optimization. The position involves working with business, analytics, and technology leaders, and evaluating and standardizing cloud-based data and analytics platforms.

Requirements

• Bachelor's or master's degree in Computer Science, Engineering, or a 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.
• Experience with machine learning platforms, MLOps, and AI lifecycle governance.
• Understanding of generative AI, large language models (LLMs), and responsible AI adoption.
• Knowledge of lakehouse, data mesh, and event-driven architecture patterns.
• Experience with Snowflake, Azure Synapse, or Databricks.
• Experience with Kafka, Event Hubs, or API Management.
• Experience with Power BI, Tableau, or Looker.
• Knowledge of Microsoft Purview, Collibra, IAM, and encryption frameworks.

Responsibilities

• Define enterprise data architecture principles, standards, and target-state roadmaps.
• Design end-to-end data architectures for 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.
• Introduce and implement new or emerging technology concepts.
• Define enterprise AI and advanced analytics architectures.
• Apply AI to demand planning, customer insights, intelligent manufacturing, and supply chain optimization.

Benefits

• Paid time off, including vacation (12–25 days depending on employee grade), company-paid holidays, personal days, and sick leave.
• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada).
• Retirement savings plans, such as a 401(k) in the U.S. or RRSP in Canada.
• Life and disability insurance.
• Employee assistance programs.
• The role may be eligible for variable incentives, bonuses, or commissions, depending on the position and applicable laws.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior