Employment type W2
Job Title Data Architect
Job Location Hybrid/ Onsite/ Remote
Duration 12 Months
Experience level - Min. 10 Years
Mandatory Skills Azure Snowflake Python
Job Description
-
Design and implement end-to-end data architecture leveraging Azure services (Azure Data Lake Synapse Analytics Data Factory Databricks Cosmos DB etc.).
-
Build and optimize data pipelines for batch and real-time ingestion transformation and processing using Databricks.
-
Define and enforce data modeling data governance and metadata management standards.
-
Collaborate with business stakeholders data engineers and data scientists to align architecture with organizational goals.
-
Implement scalable lakehouse solutions combining structured and unstructured data for analytics and AI/ML workloads.
-
Ensure performance security and compliance across all data solutions.
-
Provide technical leadership and best practices for Azure and Databricks adoption.
Employment type W2 Job Title Data Architect Job Location Hybrid/ Onsite/ Remote Duration 12 Months Experience level - Min. 10 Years Mandatory Skills Azure Snowflake Python Job Description Design and implement end-to-end data architecture leveraging Azure service...
Employment type W2
Job Title Data Architect
Job Location Hybrid/ Onsite/ Remote
Duration 12 Months
Experience level - Min. 10 Years
Mandatory Skills Azure Snowflake Python
Job Description
-
Design and implement end-to-end data architecture leveraging Azure services (Azure Data Lake Synapse Analytics Data Factory Databricks Cosmos DB etc.).
-
Build and optimize data pipelines for batch and real-time ingestion transformation and processing using Databricks.
-
Define and enforce data modeling data governance and metadata management standards.
-
Collaborate with business stakeholders data engineers and data scientists to align architecture with organizational goals.
-
Implement scalable lakehouse solutions combining structured and unstructured data for analytics and AI/ML workloads.
-
Ensure performance security and compliance across all data solutions.
-
Provide technical leadership and best practices for Azure and Databricks adoption.
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