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Including hands on experience with productionized data ingestion and processing pipelines using Python, Databricks, SnowSql. Architecture, design, implementation and operationalization of large-scale data and analytics solutions on Snowflake Cloud Data Warehouse.
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At least 5 years of experience in working as Data Architect for Enterprise DWH and BI project for both on prem and cloud with minimum of 3+ years of hands-on experience in working on Snowflake for DWH Development as Architect.
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Strong level of understanding on Azure Data Factory, SQL/Synapse, ADLS, and Azure DevOps. Experience deploying modern data solutions leveraging components like Azure functions, Azure Data Factory, Data Flows, Azure Data Lake, Azure SQL, Azure Synapse, Streaming Analytics or equivalent on another cloud provider such as AWS or Google Cloud.
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As a Data and Analytics Architect, you'll be stepping into an environment that thrives on innovation and fun. Drive consensus on business and technical data strategy decisions and ensure that appropriate resources are employed to deliver high quality results.
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Integrating data from various sources into Snowflake, including on-premises databases, cloud services, and third-party applications, ensuring data quality and consistency. One of our clients in the investment management and financial services sector, is seeking a Senior Snowflake Data Architect.
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Strong experience working on Databricks, DBT and data visualization tools like Power BI. As the Information Architect, you will play a pivotal role in designing and implementing a comprehensive data architecture strategy that spans the entire 7-Eleven organization.
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Hands on experience in Snowflake, AWS Kafka. Snowflake Data Architect. Relevant training and/or certifications as a Data Architect/Cloud Architect. Candidate having 14+ years of IT experience with at least 5 years of Data architect experience.
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Previous hands-on coding skills in languages commonly used in data engineering, such as Python, Java, or Scala. This role will advise clients and internal teams on Master Data aspects of significant enterprise data transformations for our clients and can be included as part of broader business and digital transformation mandates or standalone strategic data assignments.
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Ability to migrate on premises databases to the cloud, ensuring data integrity & optimal performance. Hands-on experience with cloud-native databases such as AWS Aurora, PostgreSQL, Amazon Redshift and Amazon DynamoDB.
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Architect the GCP data platform to meet the non-functional requirements of the consumptions layer and solutions built on top of the data platform. Leads the development of technology transitions or architecture evolutions by creating foundational examples of working solutions and coaches' teams on how to build on those examples.
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We are looking for candidates with a broad set of technology skills to be able to design and build robust Big Data solutions for big data problems and learn quickly as the platform growsResponsibilities: •Provide advisory and thought leadership on the provision of analytics environments leveraging Cloud based platforms, big data technologies, including integration with existing data and analytics platforms and tools.
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Coach and mentor engineers on data architecture best practices, participate in code reviews, design reviews and provide constructive feedback. 5+ years’ experience in a data architect role with deep knowledge of Enterprise Data Architecture concepts.
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The current ecosystem of data warehousing solutions including those on Azure, AWS and GCP. Define and visualize data architecture patterns for analytics solutions, modeling both AS-IS and TO-BE data architecture topologies for both on-prem and the cloud.
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They must have knowledge and experience with a full range of commercial and industrial IoT solutions, with the ability to advise on suitable protocols and architectures based on client requirements, including both low and high-mobility use cases, low-latency transmission, edge compute, streaming data, and related engineering best practices.
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Provide architectural guidance on business intelligence, data analytics, and data transformation tools. Provide design leadership on projects to adopt new technologies such as Snowflake, Collibra DQ, Alteryx, Thoughtspot, etc.
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on job Title: data architect in New York, NY
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