Data &
Analytics
Data initiatives require specialized capability across architecture, engineering, governance, and analytics. We place data professionals who understand the full stack — from platform design to governed delivery.
Data & Analytics
Professionals who span architecture, engineering, governance, and analytics.
Data initiatives require specialized capability across architecture, engineering, governance, and analytics — not a generalist.
Most data program failures trace back to misaligned roles, not missing technology.
We understand the stack, the program, and the delivery environment before we source a single profile.
Focus Areas
Roles
Data Architects
Senior architects who design scalable, governed data platforms aligned to enterprise and regulatory requirements.
Data Engineers
Pipeline builders experienced with modern stacks — Spark, dbt, Airflow, Fivetran — across cloud-native and hybrid environments.
Data Modelers
Specialists who translate business domains into logical and physical data models that support analytics and governance.
Analytics Engineers
Bridge roles combining data engineering and analytics — transforming raw data into trusted, business-ready datasets.
BI Specialists
Developers who build enterprise reporting platforms using Power BI, Tableau, Looker, and Qlik.
Data Governance Specialists
Practitioners who implement data catalogues, lineage, quality frameworks, and governance operating models.
Looking for data and analytics talent?
We understand data programs — the architecture decisions, the governance requirements, the delivery pressures — before we source a single candidate.
