Principal Data Engineer - Parametric
Core
Design, develop, and maintain scalable data pipelines and cloud-native architectures to support investment management, AI integration, and real-time analytics.
Role type
Principal Data Engineer (Technical Lead)
Builds
Scalable data pipelines, cloud-native architectures (Data Mesh, Lakehouse), and AI/ML data infrastructure
Domain
Financial Services / Investment Management / Data Engineering
Deliverable
production ML models | infrastructure
Required skills
SQL query optimization, distributed systems architecture, cloud platform management, data modeling, containerization, serverless computing, technical leadership, Agile methodology
Preferred skills
Generative AI integration, Data Mesh implementation, quantum-ready data frameworks, financial industry data fluency
Technologies
Snowflake, AWS (S3, IAM, Athena, SNS, SQS, EMR), SQL Server, SSIS, SSRS, Kubernetes, Docker
Responsibilities
Design and implement data pipelines optimized for machine learning and real-time analytics; Architect scalable cloud-native systems leveraging Data Mesh and Lakehouse patterns; Enforce data governance, privacy, and responsible AI practices; Optimize query performance and distributed computing operations; Modernize legacy systems using containerization and serverless computing; Mentor data engineers and guide team technical strategy; Create architectural diagrams and technical documentation
Seniority
Principal, hands-on IC with team leadership
