Define and own the data engineering strategy in support of Cat Technology platforms, including the data and AI platform.
Lead, mentor, and develop data engineers, architects, and technical leads to build high‑performing teams.
Establish standards, best practices, and governance for data engineering, architecture, and lifecycle management.
Design and oversee scalable, secure, and resilient data architectures across cloud and hybrid environments.
Own data acquisition and ingestion strategies, including batch, streaming, and near‑real‑time pipelines.
Oversee development of reliable, cost‑effective data pipelines with strong data quality, monitoring, and observability.
Partner with product, analytics, platform, and business stakeholders to translate requirements into scalable data solutions.

10+ years of experience in data engineering, data architecture, or related roles, with at least 5 years in a people‑leading or senior leadership capacity.
Strategic thinker with the ability to balance long‑term vision and near‑term delivery.
Strong people leader who develops talent and builds high‑performing teams.
Strong experience designing and operating large‑scale data platforms and pipelines.
Deep understanding of data modeling, data warehousing, and modern data architectures.
Proven experience leading complex, cross‑functional initiatives in an enterprise environment.
Experience supporting multi‑platform or product‑based data ecosystems.
Hands‑on experience with cloud‑based data platforms, modern ETL/ELT frameworks, and data observability tools.
Familiarity with data governance, privacy, and security best practices.
Strong business acumen with the ability to align technical solutions to organizational outcomes.

Director, Data Engineering

Key skills