Data Architect

Bachelor’s or Master’s degree in computer science, data engineering, materials science, chemistry, chemical engineering, physics, mechanical engineering, or mathematics with a focus on data engineering.
8+ years of relevant Data Management, Modeling, Design and Architect Experience, 6+ years of experience after a master’s degree.
Experience with designing, implementing, and operating mission-critical applications in a fast-paced manufacturing environment.
Expertise in CDI, CAI, and API development.
Experience with CI/CD concepts and tools.
Proficiency in cloud infrastructure management and serverless technologies (preferably Azure).
Proficiency in Cloud Data Quality (CDQ) and Cloud Data Profiling (CDP) with a strong understanding of data quality assurance.
Knowledge of modern data architectures, cloud services (Azure), real-time data processing (Kafka, Flink), and data warehouse tools (Snowflake, Databricks, OneLake).
Ability to work independently to provide data solutions for manufacturing environments.

Lead cloud data integration using Cloud Data Integration (CDI) and Cloud Application Integration (CAI) tools.
Align data architecture with business requirements.
Participate in setting up cloud data infrastructure and deploying AI-driven models for materials, processes, and product design.
Deploy data-driven and physics-based models for sustainable solutions and new mobility applications.
Connect IT, R&D, and Manufacturing teams across regions and time zones.
Serve as the technical lead for data management projects, optimizing data pipelines, cloud infrastructure, and data migration with tools like IICS and IDMC.
Design, develop, test, deploy, support, and enhance automated infrastructure and platform components like ETL, data pipelines and Python Programming.

No preferred qualifications provided.