Data Architect

Data Architect

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.

Key skills/competency

• Data Architecture
• Data Management
• Domain-Oriented Data Architecture (DODA)
• Data Governance
• Data Quality
• Enterprise Data Architecture
• Data Warehousing
• Data Lakes
• Data Modeling
• Big Data Technologies