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    3 jobs found for Data Architect

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      • gokhale road (mumbai)
      • permanent
      14+ years hands on of experience with Datawarehouse, DW Cloud Enabled Environments, ETL, OLTP and OLAP database models inShould have 5+ years hands on experience using Azure Synapse, Databricks data platform (Design and Development) with ADF data pipelinesJointly identify the idea to address challengeCreate pipeline of disruptive, future relevant solution and contextual innovative solutionsDevelop quick Proof of Concept, Point of View, Fact findings, Comparison of Products / tool / technologyViews on partnership and collaboration with startupsDevelop roadmap to integrate the agreed ideated solution to mainstream project or applicationDetermine and Understand the data requirements and NFRsDefine Data Strategy and Data ArchitectureMust be knowledgeable in software development lifecycles/methodologies i.e. agileIdentify, define and Analyze Data and Solution ArchitectureDesign logical and physical data models for performance, scalability and availabilitySolution, Design and Develop Data Migration approach,Guide Developers perform review of work products and provide oversightDefine and review Data Standards, Architecture design principle and processesAssist in Data Governance, Metadata Management and Data LineageBe accountable for the technical integrity of the project architecture/designProvide hands-on technical direction to other developers to review data model, ETL and resolve issuesTake part in reviewing, designing, and trouble-shooting project technical architecture, designs, common components, and codeSkills:  Microsoft Azure Data / Database Architecture, Data Modeling, Data Quality Management, Data Migration, Change Data Capture, ETLTools & Technology: Data Modeling Tools (Erwin etc.), SQL Server, Synapse, Cosmos DB, Azure Data Factory 14+ years hands on of experience with Datawarehouse, DW Cloud Enabled Environments, ETL, OLTP and OLAP database models inShould have 5+ years hands on experience using Azure Synapse, Databricks data platform (Design and Development) with ADF data pipelinesJointly identify the idea to address challengeCreate pipeline of disruptive, future relevant solution and contextual innovative solutionsDevelop quick Proof of Concept, Point of View, Fact findings, Comparison of Products / tool / technologyViews on partnership and collaboration with startupsDevelop roadmap to integrate the agreed ideated solution to mainstream project or applicationDetermine and Understand the data requirements and NFRsDefine Data Strategy and Data ArchitectureMust be knowledgeable in software development lifecycles/methodologies i.e. agileIdentify, define and Analyze Data and Solution ArchitectureDesign logical and physical data models for performance, scalability and availabilitySolution, Design and Develop Data Migration approach,Guide Developers perform review of work products and provide oversightDefine and review Data Standards, Architecture design principle and processesAssist in Data Governance, Metadata Management and Data LineageBe accountable for the technical integrity of the project architecture/designProvide hands-on technical direction to other developers to review data model, ETL and resolve issuesTake part in reviewing, designing, and trouble-shooting project technical architecture, designs, common components, and codeSkills:  Microsoft Azure Data / Database Architecture, Data Modeling, Data Quality Management, Data Migration, Change Data Capture, ETLTools & Technology: Data Modeling Tools (Erwin etc.), SQL Server, Synapse, Cosmos DB, Azure Data Factory 
      14+ years hands on of experience with Datawarehouse, DW Cloud Enabled Environments, ETL, OLTP and OLAP database models inShould have 5+ years hands on experience using Azure Synapse, Databricks data platform (Design and Development) with ADF data pipelinesJointly identify the idea to address challengeCreate pipeline of disruptive, future relevant solution and contextual innovative solutionsDevelop quick Proof of Concept, Point of View, Fact findings, Comparison of Products / tool / technologyViews on partnership and collaboration with startupsDevelop roadmap to integrate the agreed ideated solution to mainstream project or applicationDetermine and Understand the data requirements and NFRsDefine Data Strategy and Data ArchitectureMust be knowledgeable in software development lifecycles/methodologies i.e. agileIdentify, define and Analyze Data and Solution ArchitectureDesign logical and physical data models for performance, scalability and availabilitySolution, Design and Develop Data Migration approach,Guide Developers perform review of work products and provide oversightDefine and review Data Standards, Architecture design principle and processesAssist in Data Governance, Metadata Management and Data LineageBe accountable for the technical integrity of the project architecture/designProvide hands-on technical direction to other developers to review data model, ETL and resolve issuesTake part in reviewing, designing, and trouble-shooting project technical architecture, designs, common components, and codeSkills:  Microsoft Azure Data / Database Architecture, Data Modeling, Data Quality Management, Data Migration, Change Data Capture, ETLTools & Technology: Data Modeling Tools (Erwin etc.), SQL Server, Synapse, Cosmos DB, Azure Data Factory 14+ years hands on of experience with Datawarehouse, DW Cloud Enabled Environments, ETL, OLTP and OLAP database models inShould have 5+ years hands on experience using Azure Synapse, Databricks data platform (Design and Development) with ADF data pipelinesJointly identify the idea to address challengeCreate pipeline of disruptive, future relevant solution and contextual innovative solutionsDevelop quick Proof of Concept, Point of View, Fact findings, Comparison of Products / tool / technologyViews on partnership and collaboration with startupsDevelop roadmap to integrate the agreed ideated solution to mainstream project or applicationDetermine and Understand the data requirements and NFRsDefine Data Strategy and Data ArchitectureMust be knowledgeable in software development lifecycles/methodologies i.e. agileIdentify, define and Analyze Data and Solution ArchitectureDesign logical and physical data models for performance, scalability and availabilitySolution, Design and Develop Data Migration approach,Guide Developers perform review of work products and provide oversightDefine and review Data Standards, Architecture design principle and processesAssist in Data Governance, Metadata Management and Data LineageBe accountable for the technical integrity of the project architecture/designProvide hands-on technical direction to other developers to review data model, ETL and resolve issuesTake part in reviewing, designing, and trouble-shooting project technical architecture, designs, common components, and codeSkills:  Microsoft Azure Data / Database Architecture, Data Modeling, Data Quality Management, Data Migration, Change Data Capture, ETLTools & Technology: Data Modeling Tools (Erwin etc.), SQL Server, Synapse, Cosmos DB, Azure Data Factory 
      • new town action area ii
      • permanent
      1) Experience in GCP, S3, Hadoop, Redshift, Snowflate, SQL, Non-SQL DBA.2) Understanding of Agile and Scrum3) Experience or understanding of Python, BI tools such as Tableau, Power BI, SAP S4/Hana and SAP Analytics Cloud (SAC) and AWS Quicksight4) Understanding of automation, tools and platforms such as UIPath, Blue Prism, etc.
      1) Experience in GCP, S3, Hadoop, Redshift, Snowflate, SQL, Non-SQL DBA.2) Understanding of Agile and Scrum3) Experience or understanding of Python, BI tools such as Tableau, Power BI, SAP S4/Hana and SAP Analytics Cloud (SAC) and AWS Quicksight4) Understanding of automation, tools and platforms such as UIPath, Blue Prism, etc.
      • mumbai, maharashtra
      • permanent
      Experience Required: • At least 5+ years of experience in designing and developing enterprise data architecture technologies and a successful track record in implementing such architectures At least 3+ years of experience in the Investment management industry, preferred exposure to alternative assets and associated data. At least 3+ years of professional delivery experience with Azure in the following areas: • Solution/technical architecture • Big Data/analytics/information analysis/database management • Data Modeling, Data architecture, Data Integration, and Database Design • Data Integration strategy using Batch (ETL/ELT), Streaming (Real-time/near-real streaming), by adopting CDC (changed Data Capture) Framework• Extensive hands-on experience delivering Azure platform solutions: • Required: Azure Storage, Azure SQL DB/DW, Azure Data Factory, Azure Stream Analytics, Azure Synapse Analytics, Azure DevOps, Data Bricks• Nice to have: Azure ML Studio, Snowflake • Advanced hands-on SQL, Spark, Python, Scala, pySpark (2+ of these) knowledge and extensive experience working with relational databases for data querying and retrieval • Experience designing and implementing data models across multiple datasets, including best practices for dimensional modeling, storage considerations, and handling full and incremental batch scenarios• Hands-on experience with data visualization and analytics tools preferably Power BI • Experience implementing security controls (data encryption, security groups, and roles, row-level security, etc.) across data lake storage, models, and analytics workspaces • Familiarity with data governance best practices, including exposure to tools such as Azure Purview, Collibra, or equivalent
      Experience Required: • At least 5+ years of experience in designing and developing enterprise data architecture technologies and a successful track record in implementing such architectures At least 3+ years of experience in the Investment management industry, preferred exposure to alternative assets and associated data. At least 3+ years of professional delivery experience with Azure in the following areas: • Solution/technical architecture • Big Data/analytics/information analysis/database management • Data Modeling, Data architecture, Data Integration, and Database Design • Data Integration strategy using Batch (ETL/ELT), Streaming (Real-time/near-real streaming), by adopting CDC (changed Data Capture) Framework• Extensive hands-on experience delivering Azure platform solutions: • Required: Azure Storage, Azure SQL DB/DW, Azure Data Factory, Azure Stream Analytics, Azure Synapse Analytics, Azure DevOps, Data Bricks• Nice to have: Azure ML Studio, Snowflake • Advanced hands-on SQL, Spark, Python, Scala, pySpark (2+ of these) knowledge and extensive experience working with relational databases for data querying and retrieval • Experience designing and implementing data models across multiple datasets, including best practices for dimensional modeling, storage considerations, and handling full and incremental batch scenarios• Hands-on experience with data visualization and analytics tools preferably Power BI • Experience implementing security controls (data encryption, security groups, and roles, row-level security, etc.) across data lake storage, models, and analytics workspaces • Familiarity with data governance best practices, including exposure to tools such as Azure Purview, Collibra, or equivalent

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