Hitachi Rail seeks a Data Architect to design, implement, and govern scalable data architectures supporting asset management and predictive maintenance solutions in the rail signalling domain.
Data Architect (Ref.No. R1013111)
Responsibilities
- Define and design end-to-end data architecture across data ingestion, storage, processing, and consumption layers.
- Translate business requirements into scalable, secure, and high-performance data solutions.
- Develop and maintain data models (conceptual, logical, physical) to support analytics and operational use cases.
- Design and enable data platforms (data lakes, warehouses, lakehouse architectures) for structured and unstructured data.
- Establish data integration frameworks, including ETL/ELT pipelines, APIs, and streaming solutions.
- Ensure data governance, quality, lineage, and compliance across the data lifecycle.
- Embed data security principles (access control, encryption, data protection) into architecture design.
- Support predictive analytics and data-driven use cases through well-structured and accessible data environments.
- Provide technical leadership across data initiatives, ensuring best practices and standards are applied.
- Collaborate with stakeholders and act as a trusted advisor on data strategy and architecture.
Qualifications
- Bachelor or Master Degree in Computer Science/Computer Engineering or related field.
- Strong experience in data architecture and data platform design.
- Proven expertise in cloud data platforms (e.g., AWS, Azure, GCP), including modern data architectures.
- Hands‑on knowledge of data processing frameworks (e.g., Spark) and large‑scale data handling.
- Experience with data lakes, data warehouses, and lakehouse architectures.
- Solid understanding of data integration patterns (ETL/ELT, APIs, streaming, messaging).
- Familiarity with data governance frameworks, metadata management, and data quality practices.
- Knowledge of data security and privacy principles, including IAM, encryption, and compliance.
- Experience with DevOps/DataOps practices, including CI/CD and automation for data pipelines.
- Understanding of distributed systems and scalable data architectures.
- Experience with monitoring, logging, and observability for data platforms.
- Exposure to predictive analytics or data-driven solutions is an advantage.
- Strong analytical, problem-solving, and communication skills with cross‑functional collaboration experience.
- Proficiency in Italian would be an advantage for communication with Italian‑speaking stakeholders.
Benefits
- Stronger together: Networking through internal networks and working in international teams.
- Our drive: Together, we are laying the foundations for the digitization of the rail around the world, to get people safely to their destinations and to their loved ones!
- Attractive conditions: A secure and permanent job with a global company.
Equal Employment Opportunity
Equal opportunities and self‑determined participation of severely disabled persons and persons of equal status and respectful cooperation are firmly anchored principles within Hitachi Rail.