- Location
- Singapore, Singapore, Singapore · published · Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
- Type
- Full-time
- Department
- Engineering
- Source
- Workable
Description
- We are seeking an experienced Teradata Data Architect to design and lead enterprise-scale data architecture, data warehousing, and Lakehouse solutions. The ideal candidate will have strong expertise in Teradata, modern Databricks architecture, data modelling, and large-scale data processing using PySpark. The role involves modernizing legacy data platforms, implementing scalable Lakehouse architectures, and establishing enterprise data governance and security standards.
- Design and implement enterprise data architecture across Teradata.
- Architect modern Lakehouse solutions using Databricks, Delta Lake, and cloud data platforms.
- Lead data warehouse modernization, migration, and integration initiatives from Teradata to Databricks.
- Design conceptual, logical, and physical data models for enterprise data warehouses and Lakehouse platforms.
- Develop and optimize data pipelines using PySpark, Spark SQL, SQL, and Databricks workflows.
- Implement enterprise data governance, data discovery, access controls, lineage, and metadata management using Unity Catalog.
- Define data ingestion, transformation, ETL/ELT, batch processing, and streaming architecture.
- Optimize Teradata SQL, Spark jobs, Delta Lake tables, query performance, and overall platform costs.
- Establish standards for data quality, security, scalability, reliability, and regulatory compliance.
- Collaborate with data engineers, business analysts, cloud architects, and business stakeholders to translate requirements into technical architecture.
- Lead architecture reviews, technical design decisions, proof of concepts, and best-practice implementation.