Job Title: Data Architect - Azure
Location : Jersey City NJ (Onsite from Day1 to work 5 days a week onsite)
Main Skills: (ETL/ELT) Spark PySpark and Databricks
Role Description
- Architect scalable secure high-performance data solutions for fraud detection and risk management.
- Design end-to-end data architectures including ingestion transformation storage governance lineage and consumption layers.
- Build and optimize high-quality data pipelines (ETL/ELT) using Spark PySpark and Databricks.
- Handle structured and semi-structured high-scale datasets ensuring data integrity and quality.
- Work with data scientists to prepare training datasets support feature engineering and operationalize machine learning models.
- Implement cloud-native data solutions on Microsoft Azure using services like Data Lake Synapse Databricks Event Hubs Functions and Key Vault.
- Establish data governance practices covering metadata lineage quality rules and security controls.
- Drive technology evaluations POCs and contribute to the data platform roadmap.
Lead deployments across environments ensuring smooth releases and minimal risk. - Provide technical leadership mentor data engineers and maintain architectural standards across squads.
Job Title: Data Architect - Azure Location : Jersey City NJ (Onsite from Day1 to work 5 days a week onsite) Main Skills: (ETL/ELT) Spark PySpark and Databricks Role Description Architect scalable secure high-performance data solutions for fraud detection and risk management. Design end-to-end...
Job Title: Data Architect - Azure
Location : Jersey City NJ (Onsite from Day1 to work 5 days a week onsite)
Main Skills: (ETL/ELT) Spark PySpark and Databricks
Role Description
- Architect scalable secure high-performance data solutions for fraud detection and risk management.
- Design end-to-end data architectures including ingestion transformation storage governance lineage and consumption layers.
- Build and optimize high-quality data pipelines (ETL/ELT) using Spark PySpark and Databricks.
- Handle structured and semi-structured high-scale datasets ensuring data integrity and quality.
- Work with data scientists to prepare training datasets support feature engineering and operationalize machine learning models.
- Implement cloud-native data solutions on Microsoft Azure using services like Data Lake Synapse Databricks Event Hubs Functions and Key Vault.
- Establish data governance practices covering metadata lineage quality rules and security controls.
- Drive technology evaluations POCs and contribute to the data platform roadmap.
Lead deployments across environments ensuring smooth releases and minimal risk. - Provide technical leadership mentor data engineers and maintain architectural standards across squads.
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