Lead Data Warehouse Engineer: Offline Analytics & Privacy

HappyGlobal Service; Santa Clara (CA); On-site; USD 140,000 - 190,000; Full time

Job summary

HappyGlobal Service is seeking a senior data warehouse engineer to lead the design and development of offline data warehouses and governance practices. You will build scalable models, pipelines, and ensure data accuracy across business units, while coordinating with the China-based team on cross-border compliance.

The role requires deep expertise in big data ecosystems and languages like Java, Scala or Python, plus strong data privacy knowledge to align with CCPA and GDPR requirements.

Qualifications

• Experience in data warehouse modeling for enterprise-scale systems.
• Proficiency with offline and real-time data processing architectures.
• Experience building large-scale data processing systems is highly preferred.
• Strong programming experience in Java, Scala and/or Python.
• Ability to translate business needs into scalable data architectures.
• Working knowledge of US privacy regulations (CCPA, GDPR) and cross-border data handling.

Responsibilities

• Lead design and end-to-end development of offline data warehouses.
• Develop domain-aligned data warehouse solutions to meet diverse data needs.
• Collaborate with China-based data engineering team to ensure compliance and deployment.

Skills

Data warehouse modeling

Offline and real-time processing

Big data ecosystems

Java

Scala

Python

Data privacy compliance

Tools

Hadoop

Spark

Iceberg

Flink

Job description

HappyGlobal Service is seeking a senior data warehouse engineer to lead the design and development of offline data warehouses and governance practices. You will build scalable models, pipelines, and ensure data accuracy across business units, while coordinating with the China-based team on cross-border compliance.

The role requires deep expertise in big data ecosystems and languages like Java, Scala or Python, plus strong data privacy knowledge to align with CCPA and GDPR requirements.