Principal Data Engineer
Core
Architecting and building scalable data products, models, and reporting solutions for high-volume financial datasets to empower internal teams and partners.
Role type
Principal Data Engineer (FinTech)
Builds
Production-grade data transformation logic, reporting solutions, and data products for financial markets.
Domain
FinTech / Capital Markets
Deliverable
production ML models | product features
Required skills
SQL, Python (Pandas/Polars/Spark), Databricks, dbt, CI/CD, data modeling, performance engineering, distributed systems debugging
Preferred skills
Airflow, Sigma Computing, Data Apps within Databricks, AI/LLM tools for engineering
Technologies
Databricks, dbt, Python, SQL, Git, AWS, Spark
Responsibilities
Design and code complex dbt models for high-volume financial datasets; optimize query performance and incremental loading strategies; implement automated testing frameworks and validation suites; lead major data initiatives from conception to production; partner with stakeholders to translate requirements into data products; mentor engineers through code reviews and architectural guidance.
Seniority
Principal, hands-on IC with strategic scope
