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    Data Architect - San Diego, United States - Insight Global

    Insight Global
    Insight Global San Diego, United States

    3 weeks ago

    Insight Global background
    Description
    An employer in Mexico is looking for a Senior Data Architect.

    This person will be joining the Enterprise Data Architecture and Platform vertical and will be part of a team that is essential in defining and delivering the Data and Analytics based insights that can be leveraged by business teams throughout the retail organization.

    This person will be responsible for working closely business stakeholders, Data engineers, QA Engineers and DevOps Engineers to architect data solutions and ETL pipelines to bring new data into a data warehouse.

    This person must have the ability to understand custom data pipelines and modern ways of automating data pipelines using cloud based and on premise technologies as well as the ability to understand end to end data integration requirements.

    This person will be responsible for driving the modernization of the organizations data stack. This role can sit remotely anywhere in Mexico.


    • Enterprise retail experience
    • Reporting experience with Microstrategy or Looker
    • Experience with DBT for transformation
    • Experience with Airflow for orchestration
    -7+ years of experience writing complex SQL queries and custom data pipelines within large enterprise environment (preferably with Terabytes), with major data warehousing platform

    -3+ years of experience working in a Sr. Data Engineer or Architect level role to build designs meeting business stakeholder data requirements

    • Data warehousing experience within Snowflake
    -5+ years of experience with data engineering using Python based CI/CD pipelines

    -3+ years of experience within cloud environment: AWS, Azure or Google cloud

    • Ability to engineer solutions using AWS products such as EC2, S3 buckets, Lambda functions, SQS queues, Dynamo DB etc.
    -5+ years of experience developing ETL, ELT and Data Warehousing solutions

    • Strong understanding of various data formats such as CSV, XML, JSON etc.
    • Strong understanding of Agile process and tracking using Jira and Confluence
    • Outstanding collaboration and communication skills across the data engineering team, able to provide guidance, also take feedback, and look at complex problems from various POVs
    • BS in CS or related field
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