Lead enterprise data strategy, design scalable data platforms, and drive data governance across global operations using Big Data and cloud technologies.
About the role
Key Responsibilities
Architect and evolve end‑to‑end data solutions that support global semiconductor testing and IoT analytics.
Design scalable data models, pipelines, and storage solutions on cloud platforms (AWS/Azure).
Define and enforce data governance, quality, and security policies across multi‑region deployments.
Collaborate with data scientists, engineers, and product teams to translate business requirements into technical specifications.
Lead performance tuning, monitoring, and cost optimization for large‑scale data workloads.
Requirements
5+ years of experience in data architecture and big data engineering.
Proficiency with SQL, NoSQL, and distributed processing frameworks (Spark, Flink).
Hands‑on experience with cloud data services (AWS Redshift, S3, Glue, Azure Synapse).
Strong understanding of data governance, security, and compliance standards.
Excellent communication skills and ability to work cross‑functionally in a fast‑paced environment.