Data Architect

What you'll do: You will help build and industrialize a next-generation Data Architecture platform focused on regulatory data, governance, validation, and migration readiness. Your responsibilities will include: Building scalable data pipelines and execution components. Developing governed transformation, validation, and reconciliation workflows. Contributing to multi-engine execution capabilities. Designing data models, mappings, and quality controls. Collaborating with Product, Architecture, and Engineering teams on platform evolution. Supporting customer onboarding, migration readiness, and data quality assessment. Improving observability, testing, performance, and governance across the platform. Contributing to AI-assisted and agentic engineering workflows. Why we should decide on you: 7+ years of experience in Data Engineering or related roles. Python, FastAPI, Pandas, Iceberg, Parquet, Spark, Great Expectations, React, PostgreSQL, Docker, Airflow, and AI-assisted engineering tooling. Degree in Computer Science, Engineering, or a related field. Strong analytical and problem-solving skills. Comfortable working with complex and governed datasets. Collaborative mindset with strong communication skills. Interest in data governance, platform engineering, and AI-assisted development. Experience in financial services or RegTech is a plus. Why you should decide on us Market Leadership : Join a global leader where our agile culture and innovative spirit allow you to shape the future of financial stability. International Scope : Take ownership of high-profile international projects and benefit from our global internal mobility initiatives. Growth & Mentorship : Access a wide range of our technical and functional training opportunities. Culture of Inclusion : We foster a supportive, transparent atmosphere with frequent team events and a commitment to diversity. To get started, we only need your CV. We look forward to meeting you in a virtual or personal interview! Regnology is committed to equal employment opportunities regardless of gender, age, nationality, ethnic or social origin, disability, or identity. Role ID: R&D237