DATA & ANALYTICS
Data professionals who power decisions.
Data Architects, Data Engineers, and analytics professionals who design the infrastructure that turns raw data into enterprise intelligence and fuels AI initiatives.
THE CHALLENGE
Data is the foundation
Every AI initiative, every analytics dashboard, every business intelligence insight depends on well-architected data infrastructure. Data Architects and Data Engineers who can design pipelines for scale and governance are among the most sought-after and hardest-to-evaluate roles in enterprise technology.
OUR APPROACH
Evaluated by data practitioners
Our data talent vetting is conducted by practitioners who have designed enterprise data platforms, built ETL/ELT pipelines at scale, and understand the governance requirements of regulated industries. They evaluate data modeling rigor, pipeline architecture decisions, and real-world delivery experience.
Roles we place
Data Architect
Enterprise data strategists who design data models, governance frameworks, and integration architectures that power analytics and AI at scale.
Data Engineer
Pipeline builders who design, implement, and optimize ETL/ELT workflows, data lakes, and real-time streaming architectures for enterprise workloads.
Analytics Engineer
Professionals who bridge data engineering and analytics — building the transformation layers, semantic models, and reporting infrastructure that drive business decisions.
Trusted by Canada's transformation leaders
Building your data foundation? Let's find the right talent.
Book a 30-minute talent strategy call. We'll map the roles you need and show you how practitioner-led vetting eliminates hiring risk.