Enterprise Data Architect
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 defines enterprise data architecture principles, standards, and target-state roadmaps; designs end-to-end data architectures; and partners with business, analytics, and technology leaders to translate strategic objectives into scalable data solutions. It provides architectural governance across programs and initiatives, establishes standards for integration, master data management, metadata, and data quality, and evaluates and standardizes cloud data and analytics platforms. The role also ensures security, privacy, regulatory, and resiliency requirements are met; identifies and implements automation and emerging technologies; and defines enterprise AI and advanced analytics architectures. It includes work with ML platforms, MLOps, AI lifecycle governance, generative AI, LLMs, and responsible AI adoption, including applications in demand planning, customer insights, intelligent manufacturing, and supply chain optimization.
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 12 or more 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 architecture patterns including Lakehouse, Data Mesh, and Event-Driven Architecture.
- Experience with data platforms including Snowflake, Azure Synapse, and Databricks.
- Experience with integration and streaming technologies including Kafka, Event Hubs, and API Management.
- Experience with analytics and BI tools including Power BI, Tableau, and Looker.
- Experience with governance and security tools or practices including Microsoft Purview, Collibra, IAM, and encryption frameworks.
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 and implement new or emerging technology concepts.
- Define enterprise AI and advanced analytics architectures.
- Work with ML platforms, MLOps, and AI lifecycle governance.
- Support responsible adoption of generative AI and LLMs, including application 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 401(k) in the U.S. or RRSP in Canada.
- Life and disability insurance.
- Employee assistance programs.
- Other benefits as provided by local policy and eligibility.
- May be eligible for variable incentives, bonuses, or commissions, depending on the position and applicable laws.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
