The Dignify Solutions, LLC
Overview
Data Architect with 6 to 8 years of relevant experience in Microsoft Azure designing, architecting, and implementing large scale modern data platform. 3-5 years experience in BFSI domain ( D&A BFSI experience will be preferred). Strong understanding of Data & Analytics platforms in the context of emerging data sources like Kafka/ Flink / Spark. Should have experience in designing solutions for multiple large data warehouses into Azure platform ( including ADF , Purview, Synapse, Databricks, etc.). Extensive experience in data modelling and working with API based data exchange. Expertise in enterprise data governance, data security, data quality, data lineage tools on Azure. Expertise in Decision intelligence, DataOps, MLOps and multi-cloud data platform implementation. Ability to frame architectural decisions, provide technology leadership & direction. Strong senior stakeholders management. Responsibilities
Design, architect and implement large scale data platforms on Microsoft Azure. Work with emerging data sources and integrate data into data warehouses on Azure using tools such as ADF, Purview, Synapse, Databricks, etc. Model data and enable API based data exchange across systems. Establish and govern data quality, security, lineage, and governance practices on Azure. Apply decision intelligence, DataOps, and MLOps practices; support multi-cloud data platform implementation. Frame architectural decisions and provide technology leadership and direction. Manage senior stakeholder relationships and expectations. Qualifications
6 to 8 years of data architecture experience in Microsoft Azure. 3-5 years of experience in BFSI domain; D&A BFSI experience preferred. Strong understanding of data and analytics platforms with Kafka, Flink, Spark. Experience designing solutions for multiple large data warehouses in Azure (ADF, Purview, Synapse, Databricks, etc.). Extensive experience in data modelling and API based data exchange. Expertise in enterprise data governance, data security, data quality, and data lineage tools on Azure. Expertise in Decision intelligence, DataOps, MLOps and multi-cloud data platform implementation. Ability to frame architectural decisions and lead technology direction. Strong senior stakeholder management. Seniority level
Mid-Senior level Employment type
Full-time Job function
Other Industries
IT Services and IT Consulting
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Data Architect with 6 to 8 years of relevant experience in Microsoft Azure designing, architecting, and implementing large scale modern data platform. 3-5 years experience in BFSI domain ( D&A BFSI experience will be preferred). Strong understanding of Data & Analytics platforms in the context of emerging data sources like Kafka/ Flink / Spark. Should have experience in designing solutions for multiple large data warehouses into Azure platform ( including ADF , Purview, Synapse, Databricks, etc.). Extensive experience in data modelling and working with API based data exchange. Expertise in enterprise data governance, data security, data quality, data lineage tools on Azure. Expertise in Decision intelligence, DataOps, MLOps and multi-cloud data platform implementation. Ability to frame architectural decisions, provide technology leadership & direction. Strong senior stakeholders management. Responsibilities
Design, architect and implement large scale data platforms on Microsoft Azure. Work with emerging data sources and integrate data into data warehouses on Azure using tools such as ADF, Purview, Synapse, Databricks, etc. Model data and enable API based data exchange across systems. Establish and govern data quality, security, lineage, and governance practices on Azure. Apply decision intelligence, DataOps, and MLOps practices; support multi-cloud data platform implementation. Frame architectural decisions and provide technology leadership and direction. Manage senior stakeholder relationships and expectations. Qualifications
6 to 8 years of data architecture experience in Microsoft Azure. 3-5 years of experience in BFSI domain; D&A BFSI experience preferred. Strong understanding of data and analytics platforms with Kafka, Flink, Spark. Experience designing solutions for multiple large data warehouses in Azure (ADF, Purview, Synapse, Databricks, etc.). Extensive experience in data modelling and API based data exchange. Expertise in enterprise data governance, data security, data quality, and data lineage tools on Azure. Expertise in Decision intelligence, DataOps, MLOps and multi-cloud data platform implementation. Ability to frame architectural decisions and lead technology direction. Strong senior stakeholder management. Seniority level
Mid-Senior level Employment type
Full-time Job function
Other Industries
IT Services and IT Consulting
#J-18808-Ljbffr