Senior Data Engineer
Core
Design, build, and maintain scalable production data pipelines and analytical platforms to support wealth management products and data-driven insights.
Role type
Senior hands-on IC data engineer
Builds
Robust data processing pipelines, integrations, and analytical data models
Domain
Fintech / Wealth management
Deliverable
production ML models | product features
Required skills
Python, Spark, SQL, ETL/ELT architecture, cloud data platforms, data modeling, system reliability, observability, technical leadership
Preferred skills
NoSQL (Cosmos DB, DynamoDB, MongoDB), event streaming (Service Bus, Event Hubs), infrastructure as code (Terraform), API security, cost optimization
Technologies
Azure Databricks, SQL Server, Cosmos DB, Blob Storage, Azure Service Bus, Event Hubs, Azure DevOps, GitHub Actions, Terraform
Responsibilities
Set technical direction for data engineering; own core data processing platforms; design data architecture changes; build data integrations; ensure data quality and integrity; guide engineers and analysts; collaborate with security and compliance; optimize platform performance and cost.
Seniority
Senior, hands-on IC