Quest Global
Solving the world’s hardest engineering challenges through end‑to‑end solutions across industries.
Data Architect
Design and govern data architecture for a large-scale semiconductor equipment analytics platform.
Job Highlights
About the Role
The Data Architect will define data models, organization, partitioning strategies, and analytical data structures that enable efficient exploratory data analysis (EDA), AI/ML workflows, and business intelligence dashboards. This hands‑on architectural role works closely with process engineers, data scientists, ETL engineers, and platform architects to transform complex equipment data into analytics‑ready, high‑quality datasets usable by non‑programmer domain experts. Key objectives include designing a scalable, analytics‑ready architecture, supporting self‑service EDA for process engineers, and establishing partitioning strategies that support chamber‑level and equipment‑level analytics while ensuring data quality, consistency, and governance across the data lifecycle. The role also supports AI/ML and statistical modeling through well‑designed datasets and metadata, and optimizes data storage, query performance, and long‑term retention. • Design logical and physical data models for equipment, chamber, process, recipe, and time‑series data. • Define naming conventions, data organization, and dataset structures aligned with analytics use cases. • Create partitioning strategies (e.g., by equipment, chamber, date, process step, recipe) balancing performance, storage efficiency, and retention. • Establish schema evolution and backward‑compatibility approaches. • Ensure data quality, consistency, and governance throughout the data lifecycle.
Key Responsibilities
- ▸data modeling
- ▸data partitioning
- ▸data governance
- ▸data quality
- ▸ai/ml enable
- ▸storage optimization
What You Bring
We are seeking an experienced Data Architect to design and govern the data architecture for a large‑scale Semiconductor Equipment Data Analysis Platform. The platform processes high‑volume equipment data—including process logs, alarm logs, event logs, and operational time‑series data—generated by advanced semiconductor manufacturing tools such as plasma etch equipment with multiple chambers. Required experience consists of 8+ years in data architecture, data modeling, or large‑scale analytics platforms, with strong expertise in analytical data modeling (star/snowflake, wide tables, time‑series), designing high‑volume time‑series or log‑based datasets, and hands‑on work with data lakes or lakehouse architectures. A solid understanding of columnar data formats, analytical storage, and optimizing data layouts for large‑scale analytical queries is essential. • 8+ years of experience in data architecture, data modeling, or large‑scale analytics platforms. • Expertise in analytical data modeling techniques such as star/snowflake schemas, wide tables, and time‑series models. • Proven experience designing high‑volume, time‑series or log‑based datasets and optimizing data layouts for analytical queries. • Hands‑on experience with data lakes or lakehouse architectures and columnar storage formats.
Requirements
- ▸8+ years
- ▸data architecture
- ▸analytical modeling
- ▸time-series
- ▸lakehouse
- ▸columnar
Work Environment
Onsite