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,



Outstanding 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.
Team-oriented 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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