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Coppell

    Data Architect - Coppell, United States - Caliber Collision Centers

    Caliber Collision Centers
    Caliber Collision Centers Coppell, United States

    3 weeks ago

    Default job background
    Description
    Service Center


    CSCS TX
    Job Summary

    The Data Architect will be responsible for developing new strategies for acquiring, analyzing, modeling, and storing data.

    This role will guide our company into the future and utilize the latest technology and information management methodologies to meet our requirements for effective logical data modeling, metadata management and database warehouse domains.

    Duties and responsibilities

    Grow data platform capabilities to solve new data problems and challenges leveraging approved Cloud platforms

    Develop architectural strategies for data modeling, design, and implementation to meet stated requirements for metadata management, operational data stores and Extract Transform Load environments

    Review existing data architectures to determine overall effectiveness and compliance with original objectives, develop comprehensive strategies for improving or replacing underperforming areas and present these plans to managers and executives

    Help the team optimize Cloud platform architectures

    Lead and/or contribute to the design and development of cloud-based data systems

    Set standards for data management, analyze current state, and conceive desired future state, and conceive projects needed to close the gap between current state and future goals

    Define how data will be stored, consumed, integrated, and managed by different data entities and IT systems, any applications using or processing that data in some way

    Establish and enforce data governance functions and frameworks

    Collaborate with internal and external partners to ensure that technology decisions align with the overall Enterprise Architecture Framework / Roadmap

    Partner with business analysts and customers to translate business and data requirements into logical and physical data models in support of Enterprise Data Warehouse (EDW)

    Collaborate with data stewards and business customers to identify data usage patterns and formulate business names, definitions, and data quality rules for data elements

    Generate and maintain the enterprise data asset catalog

    Support database administrators, network designers and IT personnel to create effective and secure methods for data backup and recovery

    Create and manage business metadata and consistent data definitions across the business units for published data sources to ensure that it is easily discoverable, and meaningful to information workers

    Requirements and Qualifications


    Bachelor's degree in Computer Science, data architecture, information management or similar field; or equivalent combination of education experience and training that provides the required knowledge and skills.

    At least 5+ years of experience in a Data Architect role

    At least three years of data architecture experience, large-scale data modeling, database design, and business requirements analysis

    Technical leadership abilities in data architecture

    Strong understanding of the best practices in data modeling techniques including in-depth knowledge of the various normalization, dimensional modeling, and their appropriate usage in various solutions

    Demonstrate experience in large scale enterprise and data warehouse initiatives, involving multiple departments

    Ability to communicate strategies and processes around data governance and modeling across departments and senior leaders

    Knowledge of database administration, and performance tuning

    Proficient with database modeling and management tools

    Creative problem-solver with strong communication skills

    Extensive design and implementation experience in distributed system and cloud service

    Experience with Cloud Platforms like Azure, Google Cloud Platform, and Snowflake is a must

    Experience in ML or/and graph analysis is a plus

    Proficient in SQL, Python

    Expert level understanding of relational database concepts, dimensional database concepts and database architecture and design

    Familiarity with reporting/ad-hoc analysis tools such as Power BI, Looker, Tableau

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