Job Summary

You'll help build and industrialize a next-generation Data Architecture platform focused on regulatory data, governance, validation, and migration readiness.
Responsibilities
- 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.
Requirements
- 7+ years of experience in Data Engineering or related roles.
- Python, FastAPI, Pandas, Iceberg, Parquet, Spark,



Great Expectations, PostgreSQL, Airflow.
- Degree in Computer Science, Engineering, or a related field.
- Robust 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.

Role ID: R&D237;

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