Job Title: Teradata Architect (Data Warehousing)
Location: Remote
Primary skills: Teradata Architecture, Enterprise Data Warehousing, Data Modeling, Teradata SQL, Performance Tuning
skills: Teradata Vantage, BTEQ, TPT, Informatica / DataStage, Unix/Linux Shell Scripting, AWS, Azure, Google Cloud Platform, Snowflake / Databricks Migration
Experience: 12+ Years of Experience in Data Engineering, Data Modeling/Data Warehousing and 8+ years in Teradata.
About the job:
We are seeking a highly skilled Architect with deep expertise in Teradata Data Warehousing and Data Modeling. The successful candidate will own the architecture, design, and performance of Teradata-based enterprise data platforms, and guide teams on modernization and migration to cloud data platforms where required.
Responsibilities
Define and own the architecture of Teradata enterprise data warehouses, including logical and physical data models, layered data architecture, and integration patterns.
Lead performance tuning and optimization, including Primary Index and Partitioned Primary Index (PPI) design, join indexes, statistics collection, and query optimization.
Design and govern ETL/ELT frameworks using BTEQ, TPT, FastLoad, MultiLoad, and tools such as Informatica or DataStage.
Manage workload management, capacity planning, space management, security, and role-based access on Teradata systems.
Assess existing Teradata workloads and define modernization and migration strategies to cloud platforms such as Snowflake, Databricks, and Teradata Vantage on cloud.
Establish development standards, code reviews, and best practices, and mentor Teradata developers.
Collaborate with business and technology stakeholders to translate requirements into scalable data solutions.
Requirements - Must Have
12+ years of experience in Data Modeling/Data Warehousing.
8+ years of experience in Teradata architecture and design, including PI/PPI design, indexing strategies, and workload management.
Expert in Teradata SQL, query tuning, and Teradata utilities (BTEQ, TPT, FastLoad, MultiLoad, FastExport).
Hands-on experience with ETL/ELT tools such as Informatica or DataStage, and Unix/Linux shell scripting.
Experience with cloud platforms like AWS, Azure, and Google Cloud Platform, and migrating Teradata workloads to cloud data platforms.
Knowledge of Teradata security, capacity planning, and system monitoring using Viewpoint.