Lead, Data Engineer
Core
Design, build, and modernize enterprise-scale cloud-native data platforms supporting analytics, reporting, and data-driven decision making for a global wealth management and banking firm.
Role type
Senior individual contributor Lead Data Engineer
Builds
Scalable, secure, and high-performing data products and cloud-native data solutions
Domain
Financial Services / Data Engineering
Required skills
Snowflake, Python, SQL, Airflow/Astronomer, Azure Cloud Services, Data Warehousing, Data Modeling, ELT/ETL Development, CI/CD Pipelines, Distributed Systems
Preferred skills
Snowpark, Iceberg Tables, Real-Time Data Processing, Event-Driven Architectures, Azure AKS, Azure Data Lake Storage, Financial Services Domain Expertise
Technologies
Snowflake, Azure, Python, Astronomer, Airflow, Azure AKS, Azure Blob Storage, Azure Data Lake Storage, Azure DevOps, Git, Snowpark, Iceberg Tables
Responsibilities
Design and optimize scalable enterprise data platforms; Develop batch, micro-batch, and near real-time data pipelines; Architect modern cloud data warehouse and data lake solutions; Drive data platform reliability, monitoring, and governance; Optimize Snowflake workloads for performance and cost; Build and deploy cloud-native solutions; Partner with analytics and business teams to provide trusted data assets; Establish engineering best practices and participate in architecture governance.
Seniority
Senior, hands-on IC with significant influence on platform architecture and strategy
