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Platform Data Architect

3 months ago


Smyrna, United States Thought storm Full time
Job DescriptionJob Description

Title-Platform Data Architect

Location-100% remote with periodic client visits - Location is Belding Michigan which is Northeast of Grand Rapids Michigan. Prefer Michigan candidates, then Midwest, then East and South of the US.

Duration-4 months

Our client is seeking a Platform Data Architect.

This role will help modernize the future use of Data at this firm.

Manufacturing Environment

Must have manufacturing + Platform Data Architecture background.

Job Summary:

Architectural Leadership and Vision:

  • Lead the analysis and design of architectural roadmaps for -- databases, data access, and data-related technology architectures.
  • Provide expertise on the overall best practices, standards, architectural approaches, and design of complex technical Data solutions.
  • Formulate best practices and organize Data Management, Governance, and evolution processes.

Product Selection and Implementation:

  • Evaluate and select products that align with Business and IT needs, ensuring the technical viability of new projects.
  • Design and implement -- enterprise Data Stores, Data Warehouses, Data Governance, Data Quality Management, Data Modeling, and Metadata management.

Designing and Implementing Data Solutions:

  • Collaborate with the Business and peers to develop business requirements for new requests, including project concept, scope, benefit, budget, and timelines.
  • Engage with Data Platform customers/partners to understand their needs and provide guidance on appropriate data platform design/techniques.
  • Education: Degree in Computer Science, MIS, or equivalent; certification or advanced degree in Data Analytics preferred.

Experience:

    • 7-10 years of Analysis, Design, and Selection/Implementation of Data focused Platforms.
    • Proven experience in Data Architectural leadership, including designing and implementing new Data platforms.
    • Expertise in visualization/reporting capabilities.
    • Proficiency in metadata management, ETL processing, and reference data management.
    • Experience in data application/platform instrumentation, measurement, log data processing, and monitoring.
    • Strong background in scripting and automation.
    • Experience in migrating legacy systems into a structured Data-centric platform.
    • Manufacturing industry experience is considered a strong nice-to-have.