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Data Architect

Business Unit:  Chief Innovation Office
Division:  Technology Innovation Group
Department:  Software & Data Engineering Team

Your Mission

HMGICS serves as our core manufacturing testbed, focused on building a cutting-edge, software-defined factory for the autonomous and flexible production of future mobility solutions. Within the Technology Innovation Group, the Software & Data Engineering Team develops intelligent systems and environments (IoT, MLOps, visualization, and simulations) to enhance productivity, quality, logistics, and manufacturing. This position plays a crucial role in enabling data-driven decision-making and supporting the organization's overall data strategy.

What To Expect

  • Provide a high-level, abstract representation of an organization's data requirements.

  • Design and implement comprehensive data management strategies aligned with business goals.

  • Apply domain-oriented data architecture (DODA) to structure data around business domains, enabling scalability and flexibility.

  • Implement data governance policies and data quality control measures.

  • Develop and maintain enterprise data architecture solutions, including data warehouses and data lakes.

  • Ensure data security and compliance with relevant regulations.

  • Create data models and strategies to organize and store data entities efficiently.

  • Assess existing databases and data architectures for weaknesses and recommend improvements.

What You'll Bring

  • Bachelor's degree in Computer Science, Information Technology, or a related discipline.

  • At least 13 years of experience in data architecture and related technologies.

  • Proficiency in programming languages such as Python, SQL, Java, and C++.

  • Deep understanding of database management systems and data modeling techniques.

  • Experience with Big Data technologies, cloud computing platforms, and data analytics tools.

  • Strong project management and time management skills.

  • Excellent communication skills to collaborate effectively with various stakeholders.

  • Ability to develop data pipeline processes to move data from OLTP to OLAP systems.

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