Capgemini Invent - Contextual Systems Engineer Consultant

Capgemini
San Francisco, CA, United States
6 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Compensation
$72,000.0 - $136,000.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Systems Engineering BigQuery Data Architecture Data Dictionary Information Engineering Graph Database Neo4j SQL Databases Unstructured Data Enterprise Data Management Cloud Platform System
+5 more
Snowflake Data Layers Video Streaming Data Pipelines Amazon Redshift

Job description

As a Consultant, Contextual Systems , you will contribute to the design and delivery of AI-ready data and knowledge foundations that help enterprises bring business context to life. You will work within structured engagements, executing defined workstreams under senior guidance while quickly learning client environments and building domain and technical credibility.

In this role, you will help design and implement semantic layers, knowledge graphs, and context platforms that enable AI systems to understand enterprise data and processes more effectively. You will collaborate closely with senior consultants, architects, and client teams, contributing hands-on analytical and delivery output while developing your consulting skillset., * Building and configuring semantic layer components, including LookML models, dbt metrics, and dimension and measure definitions

  • Contributing to knowledge graph schema design and populating graph databases with domain-relevant data
  • Writing and testing data pipelines that feed context platforms with structured and unstructured data
  • Documenting semantic objects, context contracts, and data dictionaries for client use
  • Supporting discovery workshops focused on mapping enterprise data assets and knowledge flows
  • Assisting in the evaluation and configuration of knowledge and context platform tooling

Requirements

  • 3-5 years of experience in data engineering, analytics engineering, or data architecture
  • Hands-on experience with dbt , SQL , and at least one cloud data platform (e.g., BigQuery, Snowflake, Redshift)
  • Understanding of semantic modeling concepts such as dimensions, measures, metrics, and hierarchies
  • Strong documentation skills and attention to data quality

Beneficial experience:

  • Familiarity with graph database concepts (Neo4j preferred)
  • Exposure to knowledge and context platforms, vector databases, or streaming technologies
  • Interest in how AI systems consume enterprise data and knowledge at scale

Benefits & conditions

The base compensation range for this role in the posted location is: $72,000 - $136,000.00.

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

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client’s challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.

About the Job You’re Considering

At Capgemini Invent, the Data Driven Transformation (DDT) team helps organizations unlock the full value of their data and AI investments to drive meaningful, scalable change. As part of Capgemini’s Strategy & Transformation Consulting practice, DDT partners with clients to shape data-centric strategies, modern operating models, and AI-enabled solutions that deliver measurable business outcomes.

Our unified team model brings together expertise across Data & AI Advisory, Data Platforms & Architecture, and Applied Data Fusion , enabling seamless collaboration from strategy through execution. We work with leading organizations across industries including manufacturing, energy, consumer products, and life sciences to design future-ready capabilities and accelerate value realization.

The DDT team is recognized for:

  • Enabling Generative AI to improve efficiency and unlock new sources of innovation
  • Applying data and AI to sustainability and digital transformation initiatives
  • Designing scalable, reusable data and AI products
  • Delivering value quickly in complex, fast-moving environments, 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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