Principal Data Engineer
Core
Design, develop, and maintain robust, scalable data pipelines and automation tools for a financial services data platform serving global public equity investors.
Role type
Principal Data Platform Engineer
Builds
Data pipelines, automation tools for infrastructure provisioning, and resilient data platform components
Domain
Financial Services / Big Data & Cloud
Deliverable
production ML models | product features | infrastructure
Required skills
ETL processes, data warehousing, Apache Airflow, Python, Java, SQL, data modeling, cloud solutions (AWS/GCP/Azure), structured and unstructured data handling
Preferred skills
Data security and encryption best practices
Technologies
AWS, Azure, Snowflake, Databricks, DBT, Airflow, Looker, Apache Spark, Matillion
Responsibilities
Design and maintain scalable data pipelines; build automation tools for infrastructure and deployment; orchestrate complex ETL workflows; optimize pipeline performance and ensure data quality; implement data security policies; collaborate on platform resilience and high availability.
Seniority
Senior, hands-on IC
