Data Architect

TechDigital

  • San Jose, CA
  • 1 day ago

    Highlights

    Work with Product Owner/Business Analysts to understand functional requirements, interpret complex business requirements, translate into meaningful data requirements and interact with other cross-functional teams to architect & deliver data solutions. Design data models - Conceptual, Logical and collaborate with Data Engineers on the data model, its maintenance and optimization, and end-to-end data-driven integration strategy.

    Numbers & Facts

    LocationSan Jose, CA
    IndustryOther/Not Classified
    Company Size100 to 499 employees

    Description

    Key Skills
    Data warehouse modeling experience in enterprise data domains such as HR operations, Finance, Sales and Marketing
    Good understanding of data management principles such as data governance, data security, data quality
    Responsibilities
    Work with Product Owner/Business Analysts to understand functional requirements, interpret complex business requirements, translate into meaningful data requirements and interact with other cross-functional teams to architect & deliver data solutions
    Initiates, leads, and performs in-depth analysis and provides recommendations on data architecture to support complex business problems.
    Design data models - Conceptual, Logical and collaborate with Data Engineers on the data model, its maintenance and optimization, and end-to-end data-driven integration strategy
    Participate in developing the future state data architecture standards, guidelines, and principles
    Qualifications
    Minimum qualifications:
    5 or more years of experience in Data architecture and data modeling
    Must Have GCP (Google Cloud Platform) Experience
    Strong domain expertise in functional areas like Finance, Risks, HR, Supply Chain etc
    Experience with SQL or equivalent database querying language
    Working knowledge of relational databases, including MySQL, and large-scale distributed systems
    Analytical skills with the experience identifying, quantifying, and effectively raising business risks associated with data quality or non-compliance
    Strong communication and collaboration skills with capability to execute with business stakeholders.

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