Principal Data Engineer
Core
Designing and maintaining enterprise-wide data pipeline architecture, assembling complex datasets, and building scalable infrastructure for data extraction, transformation, and loading.
Role type
Principal Data Engineer
Builds
Scalable data pipelines, ETL infrastructure, and analytics tools for actionable insights.
Domain
Financial services / Big Data / AI Engineering
Deliverable
production ML models | infrastructure
Required skills
Data architecture design, Data modeling, AI engineering, Python, Apache Spark, Scala, Cloud computing architecture, Data security, Data integration, Data warehousing, Streaming/real-time systems, Deep learning, Generative AI, RAG, MLOps, LLMOps
Preferred skills
Machine learning, Artificial intelligence, Financial industry experience, FinTech experience
Technologies
Python, Spark, Scala, RAG, MLOps, LLMOps
Responsibilities
Oversee design and maintenance of effective data pipeline architecture, Assemble large, complex datasets satisfying business needs, Identify and deliver internal process improvements by automating manual work, Build infrastructure for efficient ETL from diverse sources, Develop analytics tools using data pipelines, Partner with stakeholders to resolve data-related technical issues, Operate at an enterprise-wide level as a specialist resource for senior leaders
Seniority
Principal, hands-on IC with strategic scope
