Lead Data Architect (Palantir Lead Architect)

Capgemini
Jersey City, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 220K

Job location

Jersey City, United States of America

Tech stack

Data analysis
Azure
Data Architecture
Data Cleansing
Information Engineering
Data Governance
ETL
Data Security
Hive
Python
Meta-Data Management
Software Engineering
Data Streaming
Software Repository
Snowflake
Generative AI
Data Strategy
PySpark
Integration Frameworks
Software Version Control
Data Pipelines

Job description

You will play a pivotal role in shaping our data strategy, collaborating with stakeholders across the organization, and ensuring the integrity, performance, and cost-efficiency of our data ecosystem. While familiarity with Generative AI (GenAI) is a plus, your core expertise should lie in data architecture, pipeline development, and Foundry platform mastery., * Design, build, and maintain end-to-end ETL/ELT pipelines using PySpark, Spark SQL, and Python.

  • Architect scalable data frameworks that support high-performance analytics and operational workflows.
  • Conduct data cleansing, transformation, and validation to ensure data quality and consistency.
  • Configure and manage data connections, Pipeline Builder, and Contour for data exploration and visualization.
  • Develop and maintain ontology objects, ensuring semantic consistency and reusability across applications.
  • Manage code repositories and version control within Foundry, promoting modular and maintainable engineering practices.

Ontology-Aware Application Development

  • Collaborate with data owners and domain experts to ingest, transform, and model data into ontology-driven applications such as Workshop and Quiver.
  • Maintain clarity on the end-to-end architecture and data flow, ensuring seamless integration from ingestion to ontology.

Requirements

  • 8+ years of experience in data engineering or related roles.
  • Strong proficiency in PySpark, Spark SQL, and Python.
  • Deep hands-on experience with Palantir Foundry, including:
  • Data Connections
  • Pipeline Builder
  • Contour
  • Code Repositories
  • Ontology Management
  • Workshop and Quiver
  • Solid understanding of data modeling, data governance, and access control.
  • Proven ability to troubleshoot complex data issues and optimize performance.
  • Excellent communication and collaboration skills., * Experience with cloud platforms (e.g., Azure).
  • Familiarity with Snowflake and its integration with Foundry.
  • Exposure to Generative AI (GenAI) and its application in data workflows.
  • Knowledge of data security, compliance, and metadata management.

Benefits & conditions

The base compensation range for this role in the posted location is: 160,000- 220,000

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.

About the company

Capgemini ist einer der weltweit führenden Anbieter von Management- und IT-Beratung, Technologie-Services und Digitaler Transformation. Als ein Wegbereiter für Innovation unterstützt das Unternehmen seine Kunden bei deren komplexen Herausforderungen rund um Cloud, Digital und Plattformen.

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