Contribute to the design and delivery of AI‑ready data and knowledge foundations
Work within structured engagements, executing defined workstreams under senior guidance
Help design and implement semantic layers, knowledge graphs, and context platforms
Collaborate closely with senior consultants, architects, and client teams
Build and configure semantic layer components, including LookML models, dbt metrics, and dimension and measure definitions
Contribute to knowledge graph schema design and populating graph databases
Write and test data pipelines that feed context platforms
Document semantic objects, context contracts, and data dictionaries
Support discovery workshops focused on mapping enterprise data assets and knowledge flows
Assist in 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
Familiarity with graph database concepts (Neo4j preferred) is beneficial
Exposure to knowledge and context platforms, vector databases, or streaming technologies is beneficial
Interest in how AI systems consume enterprise data and knowledge at scale

Benefits

Paid time off based on employee grade (A-F): 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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data engineeringanalytics engineeringdata architecturedbtSQLBigQuerySnowflakeRedshiftsemantic modelinggraph database

Soft Skills

documentation skillsattention to data qualitycollaborationcommunication