Cloud Architect

last updated December 22, 2020 1:25 UTC

Blue Orange Digital

HQ: New York City

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This is a fully remote position for candidates in South and Latin America

Responsibilities

  • Design and implement end-to-end data solutions (storage, integration, processing, visualization) in Azure

  • Design and implement database solutions in Azure SQL Data Warehouse, Azure SQL

  • Migrate data from traditional database systems (such as Teradata) to Azure databases

  • Implement ad-hoc analysis solutions using Azure Data Lake Analytics/Store, HDInsight

  • Architect and implement ETL and data movement solutions using Azure Data Factory, SSIS

  • Design and develop data visualizations in Power BI

  • Prepare documentation and architectural designs

  • Propose architectures that consider cost/spend in Azure and develop recommendations to right-size Azure data infrastructure

  • Design & implement data security and governance policies and standards

Qualifications

  • Bachelor’s degree in Computer Science, Software Engineering, or equivalent combination of education and experience.

  • 3-5 years-experience with Azure storage solutions such as Azure Storage, Azure Storage Disks, and Azure Files

  • 3-5 years-experience with Azure data solutions such as Azure SQL, SQL Data Warehouse, Data Lake Analytics/Store, HDInsight

  • 1-3 years-experience with tools such as Databricks, Snowflake, etc.

  • BA/BS degree in Computer Science or a related technical field, or equivalent practical experience.

  • 3-5 years-experience in Python with an excellent understanding of computer science fundamentals, complex data structure, data processing, data quality, data lifecycle, and algorithms.

  • Enjoys collaborating with other engineers on architecture and sharing designs with the team

  • Excellent verbal and written English communication.

  • Interacts with others using sound judgment, good humor, and consistent fairness in a fast-paced environment

Preferred Qualifications

  • Basic understanding of/experience with streaming solutions such as Kafka and Azure Stream Analytics

  • Solid understanding of/experience with Microsoft SQL Server and related technologies

  • Basic understanding of Azure solutions outside of the Azure storage and data platforms

  • Basic understanding of Azure non-relational data solutions such as Azure Cosmos D

  • Good understanding of data security and governance standard

  • Basic understanding of AI/ML approaches leveraging data on Azure

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