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 – NYC NY (Day One Onsite – Hybrid)About The RoleWe are seeking a Cloud Data Engineering Solution Leader to innovate, define, and build an autonomous Agentic Data Platform spanning data engineering and data management across multiple hyperscalers and cloud ecosystems.The platform will accelerate data modernization and enable our Financial Services covering Banking and Insurance clients to be ‘AI-ready’ and ‘agentic-ready’ through reusable architecture, accelerators, and enterprise-grade operationalization.Key ResponsibilitiesOwn the end-to-end vision, strategy, and roadmap for an autonomous Agentic Data Platform (data engineering data management) across Azure, AWS, Google Cloud, Databricks, Snowflake, and hybrid environments.Lead solution architecture and engineering to deliver a configurable, metadata-driven platform with reusable accelerators and reference implementations.Institutionalize a single core codebase (with governed branching) and modern DevSecOps practices for secure, repeatable releases.Establish and govern always-on demo/reference environments for GTM, partner showcases, and client PoCs; define funding and cost-governance (FinOps) to sustain environments.Build autonomous capabilities for ingestion, transformation, quality, lineage, policy enforcement, AI governance/guardrails, and single-pane observability, including ‘self-healing’ patterns.Drive evolution of data products and semantic layers to enable trusted, business-ready consumption and AI use cases at scale.Partner with Sales, GTM, and Alliances to shape differentiated propositions (Fixed Bid / Managed Services / outcome-based), support strategic pursuits/RFPs, and jointly build partner momentum.Own adoption: enable delivery teams, define operating model & documentation,



and ensure no dependency on any one individual.Provide technical governance across active engagements where the solution is implemented or committed, ensuring delivery success and continuous improvement.Required Skills15 years of experience in data platforms, data engineering, and/or data management; with 5 years leading solution architecture, platform engineering, or productized accelerators.Multi-cloud experience across at least two hyperscalers (Azure/AWS/Google Cloud Platform) and modern data platforms (e.G., Databricks, Snowflake).Strong expertise in modern data engineering patterns (batch/streaming, CDC, orchestration), lakehouse architectures, and scalable data operations.Deep knowledge of data management disciplines: governance, metadata, data quality, lineage, MDM/reference data, privacy/security controls.Experience embedding AI/GenAI/Agentic AI into data operations to deliver measurable efficiency and reliability improvements.Proven ability to influence senior stakeholders (CIO/CDO/CTO) and translate complex technology into business outcomes.Strong leadership in global, matrixed organizations-able to build communities, mentor teams, and drive execution through ambiguity.Experience with agent orchestration frameworks and patterns (tool use, planning, memory), retrieval/grounding (RAG), and enterprise evaluation/observability for agentic systems.Experience building industry accelerators for regulated environments (Banking, Capital Markets, Insurance) including governance and audit requirements.Background in managed services / platform operations (SRE, reliability engineering) and cost optimization across data platforms.Why joinYou will shape the next generation of autonomous data platforms and help global Financial Services clients accelerate modernization and AI adoption.This is a high-impact role with visibility across senior leadership, strategic partners,



and priority client programsLife At CapgeminiCapgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:Flexible workHealthcare including dental, vision, mental health, and well-being programsFinancial well-being programs such as 401(k) and Employee Share Ownership PlanPaid time off and paid holidaysPaid parental leaveFamily building benefits like adoption assistance, surrogacy, and cryopreservationSocial well-being benefits like subsidized back-up child/elder care and tutoringMentoring, coaching and learning programsEmployee Resource GroupsDisaster ReliefDisclaimerCapgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment chance, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.Salary TransparencyCapgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into

📌 Cloud Data Engineering Solution Leader (Ottawa)
🏢 Capgemini America
📍 Ottawa