As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Job Reference: #LI-JC1
Overview
The Data Platform Architect is a senior individual contributor responsible for leading the design, implementation, and long-term stewardship of Welocalize’s enterprise data platform.
As part of a major initiative to modernize the organization’s data infrastructure, this role will drive the evolution of Welocalize’s analytics and data environment—transforming an established technology stack into a governed, scalable, and high-performance platform built on Redshift, dbt Core / dbt Cloud, Estuary, and Power BI.
Reporting directly to the Head of Data & Analytics individual will serve as both hands-on engineer and architectural lead, guiding the design, standards, and technical direction of the modernization initiative while collaborating closely with the Data Engineering Leader (execution) and the Director of Data Quality & Governance (oversight) to ensure the effort delivers a cohesive, sustainable platform that supports analytical growth and embeds governance and quality by design.
Once the transformation is complete, the Data Platform Architect will continue to guide the platform’s development, ensuring it evolves in a structured, business-aligned, and well-governed manner with strong data quality oversight.