Staff Data Engineer
Core
Design, build, and maintain scalable data pipelines and platforms enabling analytics, reporting, and data-driven decision-making for a major bank.
Role type
Staff Data Engineer (Technical Leadership & Platform Architecture)
Builds
Scalable batch and real-time data processing solutions, ETL/ELT pipelines, and cloud-native data platforms.
Domain
Financial Services / Cloud Data Engineering
Deliverable
production ML models
Required skills
Python, Java, Scala, AWS cloud services, Docker, Kubernetes, Apache Spark, Apache Kafka
Preferred skills
Generative AI enablement, data governance, metadata management, data lineage, data quality practices
Technologies
AWS, Docker, Kubernetes, EKS, Apache Spark, Apache Kafka
Responsibilities
Provide technical leadership and guidance across data engineering teams; Define and drive enterprise data architecture, standards, and best practices; Lead the design and implementation of scalable data platforms and frameworks; Design and build highly scalable batch and real-time data processing solutions; Implement data governance, metadata management, lineage, and data quality practices.
Seniority
Staff, technical leadership & architecture
