Cloud Data Architect

August 6

🏡 Remote – New York

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Logo of Sand Cherry

Sand Cherry

Catalyze Results

Business & Customer Operations • Customer Experience • Marketing & Product Innovation • Digital Solutions • Customer Acquisition & Retention

51 - 200

Description

• Responsible for the design, structure, and maintenance of data, usually organized in relational databases • Determines end user requirements for data usage including analytics and visualization • Ensures the accuracy and accessibility of data relevant to client’s organization or project • Identifies and creates connections to relevant data sources from within the organization as well as third party sources including government data sources • Assists in defining how data will be stored, consumed, integrated and managed by different data entities • Assesses existing data architecture and data management processes to determine gaps and means of optimization • Creates vision and documents resource requirements for organizational structure to support all phases of client data initiatives • Supports BI reporting and analytic requirements including GIS data visualization • Defines supplemental data collection methods including manual survey processes as necessary • Defines user access models for internal and public models and techniques to allow user inquiry and presentation of quantitative and visual findings from data analytics • Leverages strong skills in data modeling and logic • Creates effective quality and data integrity standards and processes • Aggregates data from various sources to uncover cross-functional insights

Requirements

• 5-7 years of experience in cloud data architecture • Proficiency in using Microsoft Azure, AWS, and Databricks • Healthcare experience highly preferred • Proven ability to write SQL code and have familiarity with SQL server • Proficiency in ETL and ELT tools and techniques including Azure Data Factory • Excellent scripting and programming skills including Python and R • Proven ability to work with team members in a robust BI environment • Proven ability to communicate with clients at any level • Data-oriented, well-organized personality • Experience with cloud system administration and governance • Experience working with various data sources and formats including APIs, SFTPs, and flat files • Experience implementing cloud solutions from inception to steady state

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