Cloud Data Engineering Solution Leader

Capgemini; New York (NY); Hybrid; USD 155,000 - 210,000; Full time

Benefits offered by this job

Flexible work

Healthcare coverage

401(k) plan

Paid time off

Parental leave

Employee well-being programs

Job summary

Capgemini seeks an experienced Cloud Data Engineering Solution Leader to define and build an autonomous Agentic Data Platform spanning data engineering and data management across Azure, AWS, Google Cloud, Databricks, Snowflake, and hybrid environments.

You will own the end-to-end vision, strategy, and roadmap, lead architecture, and establish governance, demo environments, and cost controls. Role emphasizes AI/GenAI integration, scalable data operations, and influencing C-suite stakeholders.

Qualifications

• 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.

Responsibilities

• Own the end-to-end vision, strategy, and roadmap for an autonomous Agentic Data Platform across cloud ecosystems.
• Lead solution architecture and engineering to deliver a configurable, metadata-driven platform with reusable accelerators.
• Institutionalize a single core codebase and modern DevSecOps practices for secure releases.
• Establish always-on demo/reference environments for GTM, partner showcases, and client PoCs; define funding and cost governance.
• Build autonomous capabilities for ingestion, transformation, quality, lineage, policy enforcement, AI governance, and observability.
• Drive evolution of data products and semantic layers for trusted consumption and AI use cases at scale.
• Partner with Sales, GTM, and Alliances to shape propositions and support strategic pursuits.
• Own adoption: enable delivery teams, define operating model & documentation, ensure no single dependency.

Skills

Data platform leadership

Multi-cloud expertise (Azure/AWS/GCP)

Data engineering patterns

Governance & metadata

AI governance integration

Executive stakeholder influence

Leadership in matrix orgs

Agentic AI integration

SRE / platform operations

Cost optimization

Education

Bachelor's degree

Advanced degree in CS/Math

Tools

Databricks

Snowflake

Azure

AWS

GCP

CI/CD

Job description

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’ll like, where you’ll be supported and inspired bya 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 organizationsunlock the value of technology and build a more sustainable, more inclusive world.

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

Disclaimer

Capgemini 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 opportunity, 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.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

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.

Benefits

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.

Disclaimers

Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. 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 opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

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.