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    Senior Data Architect - Chicago, United States - Atlantic Partners Corporation

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    Description

    A large Asset Management firm is looking for a Data Architect with financial services exp.

    This person will l design and implement best-in-class data management solutions for metadata, master data and data quality management to enable data analytics capabilities across the Firm.

    • Serving as subject matter expert on Microsoft SQL Server and Azure Data Platform
    • Designing, developing, testing and implementing solutions for the data management functions including metadata, master data and data quality management, with SQL, C#, Power BI, Azure Data Factory, Logic Apps, Event Hub and other vendor platforms
    • Leading data architecture review sessions for the data acquisition and integration requests, providing recommendations to the team
    • Independently executing complex data analysis across multiple platforms using SQL, Excel and Power BI
    • Optimizing data infrastructure and implementing best practices
    • Confidently participate in meetings and manage frequent communications with key stakeholders and senior management

    Candidate Requirements

    Qualifications & Experience:

    • 7+ years of experience in a similar role in the Financial Services industry
    • 5+ years of experience in a data architect role including enterprise data architecture models, data governance principles, system integration and cloud data platforms
    • Hands-on experience implementing metadata management and data quality solutions to manage data assets in complex organizations is required
    • Experience delivering master data management solutions to organizations is required
    • Expertise in architecting, designing and implementing data solutions with SQL Server and Azure data platform:

    o 4+ years of hands-on experience with Azure data component and services, including Azure SQL Database / Managed Instance, Azure Event Hub, Data Factory, Data Lake, Azure Logic App, Synapse, Azure Data Function and other related tools

    o 2+ years of experience in data warehouse implementation with SQL Server

    o 2+ years of experience building automated ETL/ELT or data integration processes with multiple source systems.

    o Experience with version control system and CI / CD pipeline in Azure DevOps

    • Exceptional data analysis skills and strong attention to detail are required including leveraging SQL and Power BI to complete the analysis.
    • Full lifecycle experience implementing data & analytics solutions with a working knowledge of agile development, SCRUM and DevOps
    • Experience with Snowflake, Microsoft Purview or SQL Server Master Data Services is preferred
    • Exceptional interpersonal, verbal, written and presentation skills
    • Motivated by a fast-paced, growing, and complex environment, team-oriented and able to multitask
    • Experience executing small to medium-sized projects and a general understanding of Project Management principles are desired
    • Results-oriented with a high level of personal accountability
    • Abide by our work-in-office policies then in effect

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