Job brief
We are seeking a visionary Head of Data Architecture for a global company building AI platforms from scratch to lead the design and execution of our enterprise-wide data backbone. This leader will unify data across CAD, Finance, Operations, and GTM functions, ensuring our organization has a trusted, scalable foundation for analytics, AI, and business decision-making.
Responsibilities
- Design, implement, and own the enterprise-wide data architecture that connects critical business domains (CAD, Finance, Operations, GTM).
- Lead the development and maintenance of data models, pipelines, lineage, quality frameworks, adnd governance standards.
- Ensure the delivery of reliable, well-documented datasets to enable AI, ML, and advanced analytics use cases.
- Establish and enforce best practices for data management, scalability, and cloud-native architectures.
- Collaborate with cross-functional stakeholders to translate business needs into data solutions.
- Build, lead, and mentor a high-performing team of data engineers and architects.
Requirements
Proven track record of designing and scaling enterprise-level, cloud-native data platforms beyond reporting and BI.Hands-on expertise with Snowflake or BigQuery , along with modern orchestration and transformation tools (e.g., dbt, Airflow ) in AWS, GCP, or Azure environments.Demonstrated impact through enabling AI / ML and advanced analytics initiativesStrong leadership presence : ability to recruit, develop, and inspire data engineering talent.Excellent communication and collaboration skills, with experience working across executive, technical, and operational teams.