Enterprise Data Architect

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Job Location This is a hybrid role based in Richmond VA.About the job you're 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 AIPartner 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

Bachelor's or Master's 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  addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and…