Lead Engineer, Data Ingestion, VP
Core
Define technical direction and provide hands-on leadership for scalable, secure data-ingestion platforms supporting Risk, Finance, and Treasury.
Role type
VP-level hands-on IC data engineering leader
Builds
Scalable data-ingestion products and services for Risk, Finance, and Treasury platforms
Domain
Financial services / Data Engineering
Required skills
Java, Spring Boot, Apache Spark (Java/PySpark), Kubernetes, OpenShift, Google Cloud Platform (Cloud Run, Dataproc, GKE, BigQuery), distributed processing, microservices, event-driven integration, CI/CD, automated testing, mentoring
Preferred skills
GitHub Copilot, Agentic AI, LangChain, Kafka, Site Reliability Engineering, FinOps, regulated environment experience
Technologies
Java, Spring Boot, Apache Spark, Kubernetes, OpenShift, GCP, Cloud Run, Dataproc, GKE, BigQuery, Kafka, LangChain
Responsibilities
Define technical direction and architecture; Lead delivery of data-ingestion platforms; Develop reusable frameworks and engineering patterns; Remain actively involved in coding, prototyping, and code reviews; Drive clean-code practices and secure deployment; Mentor and coach engineers; Embed security and regulatory controls throughout the lifecycle
Seniority
VP, strategy & mentorship