Data Architect at CareerBuilder

Posted in Other 16 days ago.

Location: Smyrna, Georgia

Job Description:

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Job Description:

Job Requirements:

You like to work in an



where you can:

  • Analyze business
    requirements to build the data blueprint by designing the data entities
    and taxonomies and the data flow underneath the business process.

  • Collaborate with the rest of the
    Data and Platforms Groups for the design and build of a structured approach
    of data storage and access mechanism to data mart models.

  • Provide support to frame the
    optimal flow for data - from capture to analysis- including interactions
    between people and processes.

  • Partner with IT teams (Architecture, BI Center of Excellence,
    Operations and support teams) in various locations at all steps of project
    lifecycle to ensure consistency in tools and standards, smooth set up of
    solutions and appropriate transition to support and operations.

You will





  • Propos
     solutions, provide strategic direction,
    and prioritize on-going demands focused on Data Lake, Data Warehouse,
    Master Data Management and advanced analytics.

  • Manag
     projects from start to finish and ensure
    successful implementation within agreed cost, schedule and quality

  • Provid
     thought leadership to the immediate
    business and technology organization

  • Developing architecture specification
    deliverables that map customer business requirements into complete
    information systems (technologies, processes and people) or operational

  • Developing enterprise architecture
    standards and facilitating the adherence and governance of related project
    activity through controls in PMO, Project/Solution Development Lifecycle,
    Change Management, and Procurement processes.



  • Bachelor's

  • Minimum of 7 years of professional experience in 

    Business Intelligence, Analytics, Data Warehousing, Data Architecture



  • Familiar with cloud technologies (Azure and AWS
    analytics stacks) and analytics workbenches (Jupyter, Qubole), Spark,
    Databricks, Scala, Azure DevOps etc.

  • Familiar with most common advanced analytics IDE's
    like pyCharm.

  • Experience with a Master Data Management tool.

  • Experience with latest analytics tools and
    technologies (tools, Big Data technologies, ETL (for example, Informatica,
    SAS DI), database query languages, data warehousing, dimensional modeling,
    data cleansing, OLAP design, data lakes, master data management, advanced
    analytics, enterprise application integration.

  • Experience with performance optimization, large
    data volume architecture and design, relational and columnar databases,
    operations, data extracts, data refreshes and workflows.

  • Experience with Business Intelligence, Reporting
    and Data Visualization architecture, design, tools and technologies is a

  • Experience in commercial
    organization/pharmaceutical industry is strongly preferred

  • Up-to-date knowledge of market trends and
    developments in Artificial Intelligence, Data Science and related new
    technologies preferred to provide recommendations and deliver standard
    methodology solutions