GeorgiaTEK Systems Inc. · 21 hours ago
Data Architect
GeorgiaTEK Systems Inc. is seeking a Data Platform Engineer with expertise in Databricks and Unity Catalog. The role involves designing and implementing data architecture, optimizing data pipelines, and ensuring data security and compliance while collaborating with cross-functional teams.
Responsibilities
Design and implement data architecture leveraging technologies such as Databricks, Unity Catalog, Privacera, and Collibra
Develop, optimize, and manage data pipelines for ETL processes using Databricks, with a focus on data integrity and quality
Design and maintain data models and schemas, incorporating Unity Catalog and Collibra data governance practices
Ensure data security and compliance with regulations using Databricks and Privacera's features
Establish a robust data governance strategy, defining standards, metadata management, lineage, and quality practices
Operationalize Machine Learning models in Batch and Real Time Data Pipelines, leveraging relevant governance setups
Collaborate with cross-functional teams including data scientists, engineers, and analysts to translate business requirements into scalable solutions
Qualification
Required
Experience – 10+ years
Design and implement data architecture leveraging technologies such as Databricks, Unity Catalog, Privacera, and Collibra
Develop, optimize, and manage data pipelines for ETL processes using Databricks, with a focus on data integrity and quality
Design and maintain data models and schemas, incorporating Unity Catalog and Collibra data governance practices
Ensure data security and compliance with regulations using Databricks and Privacera's features
Establish a robust data governance strategy, defining standards, metadata management, lineage, and quality practices
Operationalize Machine Learning models in Batch and Real Time Data Pipelines, leveraging relevant governance setups
Collaborate with cross-functional teams including data scientists, engineers, and analysts to translate business requirements into scalable solutions