Cloud Engineer with Google Cloud opportunity in New York

Capgemini

New York (NY)

Hybrid

USD 86,000 - 127,000

Full time

2 days ago
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Benefits offered by this job

Paid time off (PTO)
Medical, dental, and vision coverage
Retirement savings plans
Life and disability insurance
Employee assistance programs

Job summary

Capgemini in New York is seeking a senior cloud engineer with 5+ years of cloud engineering experience and production Databricks work, including Delta Lake and pipelines. This hybrid role leverages GCP fluency and strong SQL/Python to deliver data platforms for major clients.

You will translate business requirements into technical specifications, work in a client-facing delivery context, and participate in CI/CD and infrastructure-as-code initiatives.

Qualifications

  • 5+ years in cloud engineering with Databricks production work (Delta Lake, Unity Catalog, pipelines).
  • GCP fluency: BigQuery, Cloud Storage, Cloud Run, IAM.
  • Advanced SQL and Python for data transforms and data-quality automation.
  • Hands-on with at least one clean room tech; understand aggregate vs row-level constraints.
  • Deep identity resolution knowledge: deterministic matching and graph construction.
  • PII governance in financial services: data residency, consent frameworks, GLBA, UDAAP.
  • CI/CD and IaC for data platforms.
  • Translate business requirements into technical specs in client-facing delivery.

Responsibilities

  • Translate business requirements into technical specifications for data platforms.
  • Collaborate with client teams to deliver cloud-based databricks and data engineering solutions.
  • Support Databricks on Google Cloud and implement CI/CD pipelines for data apps.

Skills

Cloud engineering
Databricks
GCP
SQL
Python
CI/CD
Infrastructure as code
Data governance
Identity resolution
Client-facing

Tools

BigQuery
Cloud Storage
Cloud Run
IAM

Job description

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.

Hybrid Location: New York

Job Description

5+ years of Cloud engineering experience, including production Databricks work: Delta Lake, Unity Catalog, Lakeflow/DLT pipelines, structured streaming, and SQL warehouses

Working GCP fluency - BigQuery, Cloud Storage, Cloud Run, IAM (Nice to have experience supporting Databricks on Google Cloud)

Expert-level SQL and strong Python for transformation logic and data-quality automation

Hands-on experience with at least one clean room technology, with a real understanding of aggregate versus row-level constraints

Deep understanding of identity resolution: deterministic matching, probabilistic graph construction, household-level aggregation, and device graph assembly

Strong PII governance knowledge in financial services: data residency, consent frameworks, GLBA, Fair Lending, and UDAAP

CI/CD and infrastructure-as-code experience for data platforms

Ability to operate in client-facing consulting delivery contexts - translating business requirements into technical specifications

The base compensation range for this role in the posted location is: $86129 to $127189

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.

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.

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