Working at Freudenberg: We will wow your world!<h1>Responsibilities:</h1><ul><li>Lead Cloud Data Strategy: Drive cloud data stewardship initiatives using advanced tools such as Cloud Data Integration (CDI) and Cloud Application Integration (CAI) to ensure seamless data and application integration across our cloud infrastructure.</li><li>Architect Cloud Data Infrastructure: Collaborate with IT and cross-functional teams to design and implement a robust, scalable cloud-based data and knowledge infrastructure, enabling rapid deployment of AI-driven models for material, process, and product innovation.</li><li>Model Deployment: Lead the implementation of advanced data-driven and physics-based models to accelerate the development of sustainable materials, products, and mobility solutions.</li><li>Ensure Data Quality: Establish and manage data quality assurance processes using Cloud Data Quality (CDQ) tools to uphold the highest standards of data integrity and reliability.</li><li>Technical Leadership: Serve as the technical lead for strategic data management projects, including the design and optimization of data pipelines, cloud infrastructure, and data migration strategies using platforms such as Informatica IICS and IDMC.</li><li>Prototype Development: Build and test prototypes to validate new concepts, and contribute to the development of reusable frameworks and components that support the adoption of emerging technologies.</li><li>Stakeholder Communication: Effectively communicate insights, strategies, and outcomes to both technical and non-technical stakeholders, including executive leadership.</li></ul><h1>Qualifications:</h1><ul><li>Master's degree in computer science, data engineering or related field </li><li>6+ year's experience with cloud platforms; specifically Azure</li><li>Proven experience with cloud platforms such as AWS and AzureProficiency in Databricks, Data Lake architectures, and SQLStrong background in data integration, data quality, and data governanceExperience with AI/ML model deployment and data science workflows</li><li>Proficient experience and in-depth knowledge of the following: <ul><li>CDQ (Cloud Data Quality) and CDP (Cloud Data Profiling) </li><li>Infrastructure as code (IAC) and serverless technologies (Azure) </li><li>Other: SQL, MySQL, MongoDB, Flask, Azure </li></ul></li></ul>The Freudenberg Group is an equal opportunity employer that is committed to diversity and inclusion. Employment opportunities are available to all applicants and associates without regard to race, color, religion, creed, gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity or expression, national origin, ancestry, age, mental or physical disability, genetic information, marital status, familial status, sexual orientation, protected military or veteran status, or any other characteristic protected by applicable law.Freudenberg North America Limited Partnership

Freudenberg e-Power Systems is one of the world's leading suppliers of emission-neutral energy systems for heavy-duty applications. With its experience and expertise in battery and fuel cell technology, the company offers tailor-made solutions, in particular combined systems, for sustainable and economical e-mobility. With over 800 employees, Freudenberg e-Power Systems supports its customers from application development through to production, commissioning and service.
The company is part of the global Freudenberg Group, which has four business areas: Seals and Vibration Control Technology, Nonwovens and Filtration, Household Products as well as Specialties and Others. In 2022 the Group generated sales of more than 11 billion euros and employed more than 50,000 associates in around 60 countries.

Data Architect

Working at Freudenberg: We will wow your world!<h1>Responsibilities:</h1><ul><li>Lead Cloud Data Strategy: Drive cloud data stewardship initiatives using advanced tools such as Cloud Data Integration (CDI) and Cloud Application Integration (CAI) to ensure seamless data and application integration across our cloud infrastructure.</li><li>Architect Cloud Data Infrastructure: Collaborate with IT and cross-functional teams to design and implement a robust, scalable cloud-based data and knowledge infrastructure, enabling rapid deployment of AI-driven models for material, process, and product innovation.</li><li>Model Deployment: Lead the implementation of advanced data-driven and physics-based models to accelerate the development of sustainable materials, products, and mobility solutions.</li><li>Ensure Data Quality: Establish and manage data quality assurance processes using Cloud Data Quality (CDQ) tools to uphold the highest standards of data integrity and reliability.</li><li>Technical Leadership: Serve as the technical lead for strategic data management projects, including the design and optimization of data pipelines, cloud infrastructure, and data migration strategies using platforms such as Informatica IICS and IDMC.</li><li>Prototype Development: Build and test prototypes to validate new concepts, and contribute to the development of reusable frameworks and components that support the adoption of emerging technologies.</li><li>Stakeholder Communication: Effectively communicate insights, strategies, and outcomes to both technical and non-technical stakeholders, including executive leadership.</li></ul><h1>Qualifications:</h1><ul><li>Master's degree in computer science, data engineering or related field </li><li>6+ year's experience with cloud platforms; specifically Azure</li><li>Proven experience with cloud platforms such as AWS and AzureProficiency in Databricks, Data Lake architectures, and SQLStrong background in data integration, data quality, and data governanceExperience with AI/ML model deployment and data science workflows</li><li>Proficient experience and in-depth knowledge of the following: <ul><li>CDQ (Cloud Data Quality) and CDP (Cloud Data Profiling) </li><li>Infrastructure as code (IAC) and serverless technologies (Azure) </li><li>Other: SQL, MySQL, MongoDB, Flask, Azure </li></ul></li></ul>The Freudenberg Group is an equal opportunity employer that is committed to diversity and inclusion. Employment opportunities are available to all applicants and associates without regard to race, color, religion, creed, gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity or expression, national origin, ancestry, age, mental or physical disability, genetic information, marital status, familial status, sexual orientation, protected military or veteran status, or any other characteristic protected by applicable law.Freudenberg North America Limited Partnership

Data Architect

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Freudenberg

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