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    Data Solutions Architect - Phoenix, United States - ValoreMVP

    ValoreMVP
    ValoreMVP Phoenix, United States

    3 weeks ago

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    Description

    Project Duration: This is a 3-6 month contract-to-hire opportunity

    Remember to check your CV before applying Also, ensure you read through all the requirements related to this role.

    Summary:

    The Data & Analytics Architect plays a pivotal role in shaping the strategic application of data at our company. This driven, and collaborative data expert, will be designing scalable and secure data systems that enable self-service business intelligence, analytics driven by insights, and decision support powered by artificial intelligence.

    Responsibilities:

    Architect, Design & Build Data & Analytics Solutions:

    • Lead the design and architecture of the cloud-based BI and Analytics Lakehouse platform using Azure Databricks, DBT and other modern data warehousing technologies.
    • Create and maintain data models, ELT processes, and data pipelines to support enterprise reporting and analytics needs.
    • Establish best practices for data storage, processing, and accessibility within the Lakehouse.
    • Collaborate with data engineers to develop and maintain robust data pipelines, ensuring data quality, integrity, and timeliness.
    • Integrate data from various sources into the Lakehouse, including structured and unstructured data, and develop standardized and enriched data models to deliver analytical solutions.
    • Optimize performance, scalability, and cost-efficiency of cloud resources to ensure reliable and efficient data processing.
    • Collaborate with data analysts, data scientists, and other enterprise data professionals to advance the organization's data capabilities.
    • Provide technical guidance, support & mentoring for data-related projects across the organization.

    Performance, Accessibility and Best Practices:

    • Implement and maintain data security protocols and ensure data privacy and compliance with policy & regulation.
    • Define access controls, encryption, and auditing for sensitive data.
    • Document architectural designs, data flows, and procedures for the Lakehouse.
    • Establish and enforce best practices for data management and governance.
    • Monitor and optimize the performance of the data architecture to meet the requirements of data analysts and data scientists.
    • Troubleshoot and resolve platform-related issues promptly.

    Qualifications:

    • Bachelor's or Master's degree in Computer Science, Analytics, Engineering or a related field.
    • 4+ years' proven professional experience as a Data Architect, Data Engineer, or similar roles.
    • Proficiency with leading cloud data platforms (Azure, GCP, AWS, Snowflake) and related data services.
    • Expert knowledge: Spark, Python, Scala, Hive, SQL
    • Experience with BI and Analytics tools, Power BI Premium is preferred.
    • Strong proficiency in data modeling fundamentals, ELT patterns, and data warehousing concepts.
    • Knowledge of data governance, security, and compliance standards.
    • Detail-oriented with strong problem-solving and communication skills.
    • Hybrid work: On-site 2-3 days per week.
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