Senior Consultant – Data Architecture, Engineering

🕒 April 1

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3Cloud

WebsiteLinkedInAll Job Openings

501 - 1000 employees

☁️ SaaS

🤖 Artificial Intelligence

🏢 Enterprise

SaaS • Artificial Intelligence • Enterprise

3Cloud is a leading Azure partner and Microsoft innovator, specializing in generative AI services for enterprise organizations. The company offers expertise in data analytics, AI, DevOps, cloud app development, and cloud infrastructure management, focusing entirely on Microsoft Azure to help businesses transform and optimize their performance. 3Cloud positions itself as a trusted copilot in the AI journey, aiming to enhance business performance through innovative solutions and strategic alignment of AI projects with business objectives. They cater to a range of industries including healthcare, financial services, manufacturing, and retail, providing managed services and ongoing support to enable and scale positive impacts of AI.

📋 Description

• Work on Azure-focused projects to grow skills in Microsoft and Azure • Engage in building and implementing data architectures and models • Collaborate with teams to provide solutions that exceed client expectations and maintain high technical standards

🎯 Requirements

• Expertise in designing and implementing logical and physical data models for cloud and hybrid data warehouse environments • Implementing data architectures to support a variety of data formats and structures including structured, semi-structured and unstructured data • Experience with multiple full life-cycle data warehouse implementations • Understanding of data architectures required to support data integration processing • Experience with data modeling technologies such as ER/Studio, ER/Win or similar • Experience with Microsoft Azure Data Platform services including Azure Data Lake Store, Azure Storage, Azure Synapse, Azure Data Factory, Azure SQL database, Logic Apps, APIs • Demonstrated ability to quickly learn, adopt and apply new technologies • Data profiling and creation of source to target mappings • Ability to provision and configure Azure data service resources • Python & SQL Scripting • SQL, PySpark • General Cloud Architecture competency skillset - Capable of taking requirements building out data pipelines • API Knowledge is required, but preference given to candidates who can create APIs

🏖️ Benefits

• Competitive compensation package • Standard benefits including quarterly and annual performance-based cash bonus • Flexible work location