AI-Driven Contextual Data Engineer

Capgemini; City of Syracuse (NY); On-site; USD 72,000 - 136,000; Full time

Benefits offered by this job

Paid time off

Medical, dental, vision coverage

401(k) retirement savings plan

Life and disability insurance

Job summary

Capgemini Invent, part of Capgemini, is seeking a Consultant, Contextual Systems to design and deliver AI-ready data foundations. You will work on semantic layers, knowledge graphs, and context platforms to enable AI systems to understand enterprise data and processes.

Engage with senior consultants and client teams, contributing analytical and delivery outputs while growing your consulting skillset. Responsibilities include building semantic layer components, contributing to graph schema

Qualifications

• 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 (BigQuery, Snowflake, or Redshift).
• Understanding of semantic modeling concepts such as dimensions, measures, metrics, and hierarchies.
• Strong documentation and data quality focus.

Responsibilities

• 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.

Skills

dbt

SQL

BigQuery

Snowflake

Redshift

Semantic modeling

Job description

Capgemini Invent, part of Capgemini, is seeking a Consultant, Contextual Systems to design and deliver AI-ready data foundations. You will work on semantic layers, knowledge graphs, and context platforms to enable AI systems to understand enterprise data and processes.

Engage with senior consultants and client teams, contributing analytical and delivery outputs while growing your consulting skillset. Responsibilities include building semantic layer components, contributing to graph schema