Principal Enterprise Architect

Capgemini’s Insights & Data global business line is seeking a visionary and highly accomplished Senior Architect at the Director level. In this role, you will champion technical excellence, design cutting-edge cloud and AI-driven architectures, and provide executive-level thought leadership. You will serve as a trusted advisor to our clients, bridging the gap between complex technical solutions and overarching business strategies., * Partner directly with Capgemini’s enterprise clients as a Chief Enterprise Architect to lead complex, large-scale platform migrations, digital transformations, and modernization projects across Data, Analytics, and AI domains.

• Design and deliver robust enterprise-scale blueprints, including Data Lake Medallion, event-driven, domain-driven, and modular microservices architectures.
• Lead technical presales activities, author high-impact proposals, and engineer reusable IT frameworks, accelerators, and methodologies to drive business growth.
• Serve as an enterprise advisor capable of stepping into high-stakes or critical projects to course-correct architectures, salvage delivery schedules, and mitigate risks.
• Collaborate deeply with strategic partners (including AWS, Microsoft, Google, Snowflake, Databricks, and SAP) to showcase Capgemini’s capabilities, representing the firm as a speaker at industry conferences and partner events.
• Drive innovation in Cloud, Data Analytics, and AI domains by regularly publishing articles and maintaining a high-visibility profile within the global Enterprise Architecture community.
• Establish technology visions and multi-year roadmaps. Manage executive stakeholder expectations, rationally challenge legacy delivery approaches, and cultivate an optimized, collaborative, and multicultural delivery team.

• Minimum of 16 years of experience in the IT industry.
• Minimum of 6 years of dedicated experience acting in an Architect capacity.
• Strong knowledge of standard industry architecture frameworks; valid certifications in TOGAF, IAF, NIST, Zachman, or DoDAF are highly expected.
• Domain experience in one or more of the following industries is highly preferred: Manufacturing, Automotive, Life Sciences, Telecommunications, Media, Hi-Tech, or Energy & Utilities.
• Bachelors, Master’s degree or Ph.D. in Computer Science, Information Systems, Electronics and Communication, or similar fields of technology.

Technical Skills & Competencies

• Deep expertise in hands-on software development and presales across major cloud ecosystems (AWS, Azure, or Google Cloud). Advanced proficiency in cloud-native services and programming languages including Spark, Scala, and Java. Multiple cloud certifications are expected.
• Deep expertise in building enterprise-scale AI solutions using AWS Bedrock, AWS SageMaker, Google Vertex AI, Azure ML, and OpenAI LLMs. Mastery of advanced paradigms including LLMOps/MLOps, prompt engineering, fine-tuning Large Language Models, Agent Mesh, RAG, Vector Databases, Chain-of-Thought, Context Engineering, and Agent/Loop Engineering. Hands-on experience with modern AI development tools (e.g., Cursor, Codex, Claude Code, Claude Cowork).
• Proficient with cross-platform data environments such as Databricks and Snowflake. Experience of implementing hybrid cloud & multi-cloud architecture.
• Advanced capability in database modeling and design for both relational systems and NoSQL databases.
• Extensive experience designing microservices, event-driven architectures, and managing complex batch and streaming data flows.
• Proven track record implementing data quality, data lineage, data observability, and data marshalling strategies. Preference for hands-on experience with enterprise data governance tools such as Informatica, Alation, Collibra, or Reltio.
• Practical experience building semantic layers, data products, data sharing mechanisms, and usage metering within a Data Mesh framework.
• Proven capability in migrating large-scale enterprise data and application platforms from on-premise to cloud or executing cloud-to-cloud hyperscaler migrations using a phased, agile approach.
• Comprehensive understanding of infrastructure security, designing resilient/fault-tolerant environments, and executing FinOps automation to manage non-functional requirements (NFRs) like scalability and cost optimization.
• Proficient in complex deployment automation, DataOps, DevOps, and CI/CD pipelines utilizing GitHub, GitHub Actions, Jenkins, etc., within high-performing Agile teams.

The base compensation range for this role in the posted location is $180,000 to $250,000

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

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

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., Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.