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The Data Warehouse Architect role involves strategically designing and implementing data warehouses, data marts, and data stores as well as requisite ETL (Extract, Transform, Load) and visualization (reporting) development while ensuring high levels of data availability.
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Lead cost efficiency, cost optimization efforts to keep data warehouse/virtual warehouse costs low. We are seeking a skilled Data Architect with expertise in Data Platforms to join our team.
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As AWS Architect, you are responsible for the design and implementation of data warehouse solutions for all the reporting and analytical needs for our customers. Communicates physical database designs to lead data architect / database administrator.
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Overall 13+ Years experience and a Minimum 3+Years exp in Snowflake and cloud-based data warehouse, should have worked as an architect for at least 3 years. Hands-on experience with Snowflake utilities, UDF's, SnowSQL, Snowpipe, Streams & Tasks, Big Data model techniques using Snowpark python/Java/Scala.
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Programming, application extensibility, security & performance, deployments, integrations with external systems, knowledge of the AOT, objects and structures, Data Management Framework (aka DIXF), Azure DevOps and Lifecycle Services (LCS), Azure logic apps integration.
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Will be responsible for:Designing scalable and efficient data warehouse solutions using Snowflake architecture. Data governance, security, and compliance requirements in a data warehouse environment.
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As a Data Engineer at Omnitech, you would qualify for multiple labels including business intelligence consultant, data warehouse consultant, data acquisition (ETL) consultant, database administrator consultant, master data management consultant, data analyst, data architect, data scientist to name a few.
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Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action.
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Manage and use tools in the cloud data warehouse development and deployment such as ETL tools, data quality and cleansing tools, query/reporting tools, OLAP, data mining, etc.
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Design ETL Architecture to source data from several application databases, analyze, model and load into data lake and warehouse. Expertise in Enterprise Data Modelling (Physical & logical), Enterprise Data Warehouse Design, Data Lake Design.
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Position Title: Azure Data Warehouse Architect. You will be the primary data architect for our Azure Cloud Data Warehouse and Analytics environment with a strong focus on data modeling.
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The Data Architect will be responsible for designing data warehouse strategies and will lead the implementation of architecture to ensure data integrity, security, and optimize access/retrieval.
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Knowledge of Data Warehouses/Lakehouse architectures, Master Data Management, Data Quality Management, Data Integration, and Data Warehouse architecture. If you find a strong MDM person LOCAL on site, they need to be strong on the databases running queries RDBMS and Data Lakes- if they don't have Siebel knowledge, that is okay as well any MDM knowledge as a LEAD/Architect.
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As an Enterprise Data Architect, you will shape and execute our data strategy, with a focus on building a robust data mesh platform. + Design and execute data distribution framework, data streaming, vendor evaluation, cloud warehouse evaluation.
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We are seeking an experienced and Enterprise Data Architect to join our team. Corteva Agriscience is looking for an Enterprise Data Architect. + Define the data integrations points and approved interface (import/export) techniques.
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