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The Data Architect will be held accountable for the following responsibilities: Define and implement the long-term technology strategy and innovations roadmaps across analytics, data engineering, and data platformsCreate standards, design patterns, and best practices for ETL development in an enterprise data warehouse environment.
$87,000 - $115,500 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Key outputs include alignment of the data platform architecture, platform design, data modeling, data integration design, standards documentation, architecture to support partner solutions, and performance aligned with the overall goals and objectives for Apptio's business and vision.
$181,000 - $273,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Design, develop, and implement data architecture solutions using SQL Server, Microsoft Azure, Snowflake, and Databricks. Utilize SQL Server Integration Services (SSIS) and Azure Data Factory for ETL processes and data migration.
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Experience in the design and implementation of modern data architectures and concepts such as cloud services (AWS, Azure, GCP) and modern data warehouse tools (Snowflake, Databricks, Synapse, Redshift.
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Responsibilities: Performant has an immediate opening for a Sr. Data Warehouse Architect/EDI Specialist. The DWA/EDI specialist will architect, design, implement and maintain data interchange systems with external and internal partners and applications into the company’s modern data stack which include multi cloud platforms, Snowflake, and EDI pipelines.
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This role will provide expertise to support the development of a Big Data / Data Lake system architecture that supports enterprise data operations for the District of Columbia government, including the Internet of Things (IoT) / Smart City projects, enterprise data warehouse, the open data portal, and data science applications.
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Inviting applications for the role of Senior Principal Consultant- Databricks Sr. Data Architect ! Leading team in the definition of best practices & repeatable methodologies in Cloud Data Engineering, including Data Storage, ETL, Data Integration & Migration, Data Warehousing and Data Governance.
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The architect also needs to be very familiar with CI/CD pipelines and setting them up for Data Ingestion, Transformation and scheduling to include robust integration and unit testing as applicable.
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The Principal Architect provides the global vision, rationale, and recommendations to leadership teams for challenging technical issues related to data center architectural design, while working on continually improvement of data center designs.
$146,300Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Platform Integration: Design and implement solutions that integrate with IQVIA, Veeva, Salesforce Marketing Cloud, Marketo, Adobe Experience Manager, and Crownpeak, ensuring seamless data exchange and enhanced marketing capabilities.
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Use of IBM's Service Oriented Architecture (SOA) tools: WebSphere Business Modeler (WBM), WebSphere Process Server (WPS)/Business Process Manager (BPM), WebSphere Integration Developer (WID)/IBM Integration Designer (IID), MVC modeling and implementation, and Rational Software Architect (RSA) to create SOA design artifacts for composite application development teams.
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Similar Job Titles: Database Administrator (DBA) Database Engineer Data Architect Database Manager Data Warehouse Specialist Keywords: Relational databases Database design Data management Data governance Database optimization Legal Disclaimer: Cherokee Federal is an equal opportunity employer.
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Design, development, deployment and maintenance of integration processes between applications across cloud and/or on-premise using Dell Boomi Atmosphere platform, SAP Integration Center, SAP Cloud Platform, Talend Data Integration.
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Architect Expertise: Production level ML workloads for customers using Databricks platform, including end-to-end ML pipelines, training/inference optimization, integration with cloud-native services and MLOpsModel Selection: Evaluate and select appropriate AI components and algorithms based on project objectives, data characteristics, and performance requirements.
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Creating SOA Design standards and best practices for object naming, design & deployments, data & content integration and production output using various channels including utilizing open-source API’s for content management.
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integration architect design data warehouse jobs Company: Dice
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