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Urgent! Data Architect Job Opening In Plymouth – Now Hiring Freudenberg



Job description

Working at Freudenberg: We will wow your world!

Responsibilities:

  • Lead cloud data stewardship initiatives, employing advanced Cloud Data Integration (CDI) and Cloud Application Integration (CAI) tools to facilitate seamless data and application integration across the cloud infrastructure.
  • Leads the discussion with IT organization for setting up the advanced cloud data/knowledge infrastructure and accelerated deployment of AI driven models for material/process/product design.
  • Leads the deployment of advanced data-driven and physics-based models to guide and accelerate the development of products, materials and processes for sustainable solutions and new mobility applications.

  • Implement and oversee data quality assurance processes, employing advanced Cloud Data Quality (CDQ) tools to maintain high data integrity standards.
  • Serve as the technical lead in strategic data management projects, designing and optimizing data pipelines, cloud infrastructure, and data migration processes with tools such as Informatica Intelligent Cloud Services (IICS) and Intelligent Data Management Cloud (IDMC).
  • Build prototypes to test new concepts and provide ideas on reusable framework and components to help promote adoption of new technologies.
  • Communicate results through reports and presentations to diverse audiences (both technical and non-technical), including C level.
  • Qualifications:

  • Master's degree in computer science, data engineering or related field
  • 6+ years of experience post-graduation
  • Expertise in CDI and CAI, with strong API development skills
  • Experience with CI/CD and other automation for cloud deployments
  • In-depth knowledge of cloud platforms, particularly Azure, and cloud-native technologies such as Kubernetes, Docker, and serverless computing.
  • Experience in DevOps / MLOps / LLMOps
  • Proficient experience and in-depth knowledge of the following: CDQ (Cloud Data Quality) and CDP (Cloud Data Profiling) Infrastructure as code (IAC) and serverless technologies (Azure) Data distribution and processing (Kafka, Flink)Data warehouse tools (SQL, Snowflake, Databricks)Programming languages (Python, C/C++) Other: SQL, MySQL, MongoDB, Flask, Azure

  • Required Skill Profession

    Computer Occupations



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      Unlock Your Data Architect Potential: Insight & Career Growth Guide


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      Freudenberg interview tips for Data Architect

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