Principal Enterprise Architect

Capgemini • Chicago, ND

32d • $180,000 - $250,000

About The Position

Capgemini’s Insights & Data global business line is seeking a visionary, highly accomplished senior architect at the Director level. The role champions technical excellence by designing cloud- and AI-driven architectures and providing executive-level thought leadership. The architect serves as a trusted client advisor, connecting technical solutions with business strategy, and strengthens Capgemini’s market presence through collaboration with strategic hyperscaler partners and delivery of innovative solutions across industries.

The position partners with enterprise clients as a Chief Enterprise Architect to lead complex migrations, digital transformations, and modernization across Data, Analytics, and AI. It develops enterprise architecture blueprints, guides critical projects, leads technical presales and proposal development, and creates reusable frameworks and accelerators. The role also establishes technology visions and multi-year roadmaps, advises executive stakeholders, supports partner and industry events, publishes thought leadership, and cultivates collaborative multicultural delivery teams.

The position is based in one of the listed locations: Chicago, Atlanta, New York, Dallas, or San Francisco. The base compensation range is $180,000 to $250,000. Capgemini’s benefits package for regular, full-time employees may include paid time off, company holidays, personal days, sick leave, medical, dental and vision coverage, retirement savings plans, life and disability insurance, and employee assistance programs, subject to local policy and eligibility.

Requirements

• At least 16 years of experience in the IT industry.
• At least 6 years of experience working in an Architect capacity.
• Strong knowledge of standard industry architecture frameworks; certifications in TOGAF, IAF, NIST, Zachman, or DoDAF are highly expected.
• Bachelor’s, master’s, or Ph.D. degree in Computer Science, Information Systems, Electronics and Communication, or a similar technology field.
• Deep hands-on software development and presales expertise across AWS, Azure, or Google Cloud; advanced proficiency in cloud-native services and programming languages including Spark, Scala, and Java; multiple cloud certifications expected.
• Deep expertise building enterprise-scale AI solutions using AWS Bedrock, AWS SageMaker, Google Vertex AI, Azure ML, and OpenAI LLMs, including LLMOps/MLOps, prompt engineering, LLM fine-tuning, Agent Mesh, RAG, vector databases, Chain-of-Thought, Context Engineering, and Agent/Loop Engineering.
• Hands-on experience with modern AI development tools such as Cursor, Codex, Claude Code, or Claude Cowork.
• Proficiency with cross-platform data environments such as Databricks and Snowflake, and experience implementing hybrid-cloud and multicloud architecture.
• Advanced database modeling and design capability for relational and NoSQL databases.
• Extensive experience designing microservices and event-driven architectures and managing complex batch and streaming data flows.
• Track record implementing data quality, data lineage, data observability, and data marshalling strategies.
• Practical experience building semantic layers, data products, data-sharing mechanisms, and usage metering within a Data Mesh framework.
• Capability migrating large-scale enterprise data and application platforms from on-premises to cloud, or performing cloud-to-cloud hyperscaler migrations using a phased, agile approach.
• Comprehensive understanding of infrastructure security, resilient and fault-tolerant environments, and FinOps automation for non-functional requirements such as scalability and cost optimization.
• Proficiency in deployment automation, DataOps, DevOps, and CI/CD pipelines using tools such as GitHub, GitHub Actions, and Jenkins within high-performing Agile teams.

Nice To Haves

• Domain experience in one or more of Manufacturing, Automotive, Life Sciences, Telecommunications, Media, Hi-Tech, or Energy & Utilities is highly preferred.
• Hands-on experience with enterprise data governance tools such as Informatica, Alation, Collibra, or Reltio is preferred.

Responsibilities

• Partner with enterprise clients as a Chief Enterprise Architect to lead large-scale platform migrations, digital transformations, and modernization projects across Data, Analytics, and AI.
• Design and deliver enterprise-scale architecture blueprints, including Data Lake Medallion, event-driven, domain-driven, and modular microservices architectures.
• Lead technical presales, author proposals, and develop reusable IT frameworks, accelerators, and methodologies to support business growth.
• Advise on high-stakes or critical projects by correcting architectures, helping recover delivery schedules, and mitigating risks.
• Collaborate with strategic partners including AWS, Microsoft, Google, Snowflake, Databricks, and SAP to showcase Capgemini’s capabilities; represent the firm at conferences and partner events.
• Drive innovation in Cloud, Data Analytics, and AI, publish articles, and maintain visibility in the global Enterprise Architecture community.
• Establish technology visions and multi-year roadmaps.
• Manage executive stakeholder expectations, challenge legacy delivery approaches, and cultivate an optimized, collaborative, multicultural delivery team.

Benefits

• Paid time off, including vacation of 12–25 days depending on employee grade, company-paid holidays, personal days, and sick leave, subject to policy.
• 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.
• Other benefits as provided by local policy and eligibility.
• 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