Back-end Engineer - Data Platforms
Core
Design, build, and scale enterprise-grade data platforms and backend services supporting critical business and regulatory workloads.
Role type
Vice President, Backend Software Developer (Data Platforms)
Builds
Scalable backend systems, data pipelines, and platform capabilities for processing large volumes of structured and unstructured data.
Domain
Financial Services / Big Data / Distributed Systems
Deliverable
production ML models
Required skills
Python, PySpark, Snowflake, Graph Technologies, System Architecture, AI-assisted development, Distributed Systems, Microservices, Event-Driven Architectures, CI/CD
Preferred skills
Cloud platforms (AWS, Azure, GCP), Containerization (Docker, Kubernetes), Data Governance, Machine Learning workloads
Technologies
PySpark, Snowflake, Kafka, Databricks, Delta Lake, Graph Databases, AWS, Azure, GCP, Docker, Kubernetes
Responsibilities
Design and implement robust data pipelines for ingestion, transformation, and consumption; Lead system architecture discussions and define long-term technical roadmaps; Conduct design reviews and code reviews to ensure adherence to engineering standards; Mentor junior engineers and provide technical leadership; Optimize large-scale data processing workloads for performance and cost efficiency.
Seniority
Vice President, Strategy & Mentorship