Senior Data Integration Engineer

You will design and build data integration pipelines connecting client source systems to the platform, while owning the data warehouse and data lake architecture for ingestion, transformation, and data quality.

This role is on-site.

Responsibilities

• Build production-grade Python data processing scripts and integration logic for on-prem and cloud systems.
• Define data reconciliation and lineage processes to ensure pipeline trust and accuracy.
• Coordinate with client data engineering, ops, and compliance stakeholders, alongside internal deployment teams.
• Document architecture decisions and integration patterns to ensure work is defensible and repeatable.
• Own end-to-end delivery from data analysis and architecture through production support.

Required Skills

• 10+ years in enterprise data architecture, data engineering, or solution architecture.
• Hands-on ETL expertise with Informatica, Snowflake, or comparable enterprise-grade tooling.
• Production experience with cloud data platforms AWS or Azure.
• Direct experience in financial services, specifically capital markets, asset management, or securities operations.
• Proficiency with REST APIs, message queues (Kafka or similar), and containerized deployments (Docker).
• Ability to own delivery end-to-end and serve as the senior technical presence with client stakeholders.
• Bachelor's degree in a related field.

Preferred Skills

• Experience managing distributed or offshore team coordination.