Job Location - NYC NY (Day One Onsite - Hybrid)

About The Role

• We 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 Responsibilities

• Own 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 Skills

• 15+ 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/GCP) 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 join

• You 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 programs

Life At Capgemini

Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:

• Flexible work
• Healthcare including dental, vision, mental health, and well-being programs
• Financial well-being programs such as 401(k) and Employee Share Ownership Plan
• Paid time off and paid holidays
• Paid parental leave
• Family building benefits like adoption assistance, surrogacy, and cryopreservation
• Social well-being benefits like subsidized back-up child/elder care and tutoring
• Mentoring, coaching and learning programs
• Employee Resource Groups
• Disaster Relief

Salary Transparency

Capgemini 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 account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $155000 to $210000 /yearly.

This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees.

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law.

The base compensation range for this role in the posted location is:$155000 to $210000

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.