Teradata Data Architect

About the role

An experienced Teradata Data Architect is sought to design and lead enterprise-scale data architecture, data warehousing and Lakehouse solutions. The role covers modernizing legacy data platforms, implementing scalable Lakehouse architectures and setting enterprise data governance and security standards.

Key responsibilities

• 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 from Teradata to Databricks
• Design conceptual, logical and physical data models for data warehouses and Lakehouse platforms
• Develop and optimize data pipelines with PySpark, Spark SQL, SQL and Databricks workflows
• Implement data governance, discovery, access controls, lineage and metadata management using Unity Catalog
• Define ingestion, transformation, ETL/ELT, batch and streaming architecture
• Optimize Teradata SQL, Spark jobs, Delta Lake tables, query performance and platform costs
• Set standards for data quality, security, scalability, reliability and regulatory compliance
• Work with data engineers, business analysts, cloud architects and stakeholders, and lead architecture reviews and proof of concepts

Required profile

• Strong hands-on experience in Teradata database architecture, enterprise data warehousing and SQL performance tuning
• Proven experience designing modern data architectures with Databricks and the Lakehouse paradigm
• Strong data modelling, dimensional modelling, data integration and ETL/ELT expertise
• Experience designing scalable data pipelines, transformation frameworks and enterprise data platforms
• Knowledge of data security, data quality, data lifecycle management and architecture standards

Required skills

• Databricks Lakehouse, Delta Lake and Apache Spark architecture
• PySpark, Spark SQL and distributed data processing
• Unity Catalog (governance, permissions, lineage, metadata, access control)
• Cloud platforms such as AWS, Microsoft Azure or Google Cloud