Data Architect

You will enjoy having these 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.

You have:

• 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.