AI-Driven Data & Context Architect

Capgemini; Atlanta (GA); On-site; USD 110,000 - 138,000; Full time

Benefits offered by this job

Medical/dental/vision

Retirement plan (401k/RRSP)

Life & disability insurance

Paid time off

Job summary

Capgemini Invent is seeking an AI-enabled Data Engineer to design and deliver AI-ready data foundations, including semantic layers, knowledge graphs, and context platforms. You will build LookML models, dbt metrics, and data pipelines, collaborating with strategy, technology, data, and design teams.

The role requires 3–5 years in data engineering, hands-on dbt and SQL, and strong documentation and data-quality skills.

Qualifications

• 3–5 years in data engineering, analytics engineering, or data architecture.
• Hands-on dbt, SQL, and cloud data platform experience.
• Understanding of semantic models.
• Strong documentation and data-quality skills.

Responsibilities

• Build LookML models, dbt metrics, dimensions, and measures.
• Design graph schema and semantic models.
• Write data pipelines and ETL scripts.
• Document context contracts and data dictionaries.
• Support discovery workshops with clients.
• Evaluate context platform tooling and capabilities.

Skills

AI literacy

dbt

SQL

Cloud data platform

Semantic models

Data quality

Documentation

Tools

LookML

Graph schema design

Data pipelines

Job description

Capgemini Invent is seeking an AI-enabled Data Engineer to design and deliver AI-ready data foundations, including semantic layers, knowledge graphs, and context platforms. You will build LookML models, dbt metrics, and data pipelines, collaborating with strategy, technology, data, and design teams.

The role requires 3–5 years in data engineering, hands-on dbt and SQL, and strong documentation and data-quality skills.