• Design and maintain SharePoint Online information architecture, including folder taxonomy, metadata schemas, content types, managed metadata structures, and confidentiality segregation standards. • Define and validate governance standards for content organization and document management within SharePoint Online environments. • Administer SharePoint Online site collections and support structured governance implementation activities. • Analyze and leverage inventory data to support information architecture and governance decisions. • Design Power Automate workflows for governance reporting, operational visibility, and notification processes. • Validate folder-path-based and metadata-based integration patterns across connected systems and business workflows. • Support validation and QA activities for migrated libraries, metadata consistency, and governance compliance. • Conduct training sessions for business and marketing users on SharePoint governance structures and platform best practices. • Lead IT and content steward handoff sessions to ensure governance continuity and operational alignment. • Create and maintain Content Governance Guides, Information Architecture Design Documents, and related operational documentation. • Translate technical architecture decisions into business-friendly guidance for non-technical stakeholders. • Serve as the primary technical authority for SharePoint information architecture and governance decisions within the engagement. • Collaborate closely with client SMEs and technical stakeholders to ensure governance standards are implemented consistently.

• Designing, developing, and implementing data & analytics solutions • Empowering data-driven decision-making for clients • Leading large data projects and teams across multiple client engagements • Define data solution architecture, including data integration, data warehousing, and reporting frameworks • Develop scalable and secure data solutions aligned with client business objectives • Design and optimize data models for analytics and reporting • Collaborate with clients to understand business requirements and translate them into technical solutions • Implementing and managing BI tools (e.g., Power BI, Tableau, Qlik, Looker)

• Designing and governing scalable, secure, and cloud‑native solutions on SAP Business Technology Platform (BTP) • Define end‑to‑end solution architecture on SAP BTP • Design application extensions using CAPM (Node.js/Java) and/or RAP (ABAP Cloud, CDS, OData V4) • Integrate applications with S/4HANA (Public & Private Cloud) and non‑SAP systems • Ensure enterprise‑grade security, governance, and compliance

Role Description Capgemini is seeking a highly experienced GCP API Solution Architect with strong data engineering expertise to lead complex cloud data and API initiatives. This role will focus on designing and modernizing scalable, secure, and API-driven data platforms on Google Cloud Platform (GCP), supporting enterprise analytics, integration, and AI use cases. As a GCP API Solution Architect, you will: - Lead end-to-end solution and API architecture for cloud data platforms on Google Cloud Platform - Define and govern reference architectures, API patterns, and best practices for data ingestion, processing, storage, and analytics - Architect and guide implementation of batch and streaming pipelines using BigQuery, Dataflow, Pub/Sub, Cloud Storage, Dataproc, and Composer - Design API-led integration architectures using Apigee and cloud-native services - Enable modern data lakehouse and data warehouse architectures aligned with analytics, reporting, and AI/ML use cases - Ensure alignment with data governance, quality, lineage, security, and compliance standards - Design infrastructure using Infrastructure as Code (IaC) tools such as Terraform - Collaborate with platform teams on CI/CD, DataOps, monitoring, and operational excellence - Apply GCP security best practices including IAM, networking, encryption, and compliance - Partner with business and technology stakeholders to translate business needs into scalable technical solutions - Act as a trusted advisor for cloud data modernization and GCP best practices - Support solution design activities including architecture reviews, estimates, and technical proposals Qualifications - 10+ years of overall IT experience with 5+ years in cloud data architecture - Proven experience designing and delivering GCP-based data and API platforms - Strong background in large-scale enterprise data programs - Deep expertise in Google Cloud Platform, including: - BigQuery, Cloud Storage - Dataflow (Apache Beam), Pub/Sub - Dataproc (Spark), Composer (Airflow) - Strong experience with API architecture and management, including Apigee - Solid understanding of data modeling, ETL/ELT, streaming architectures, and SQL - Experience with CI/CD pipelines, Terraform, and DataOps practices - Exposure to AI/ML enablement on GCP (Vertex AI is a plus) - Google Professional Data Engineer – Preferred - Google Professional Cloud Architect – Preferred - Strong communication and stakeholder management skills - Ability to explain complex technical concepts to both technical and non-technical audiences - Experience working with global and distributed teams - Passion for innovation, engineering excellence, and continuous improvement Requirements - The base compensation range for this role in the posted location is $88,544 to $207,401 - Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. - 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. - 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. Benefits - 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