Senior Data Engineer – Manager

Our technology function, Global Technology Services (GTS), is vital to State Street and is the key enabler for our business to deliver data and insights to our clients. We’re driving the company’s digital transformation and expanding business capabilities using industry best practices and advanced technologies such as cloud, artificial intelligence and robotics process automation.

Requirements

• Build and optimize data warehouses and data marts in Snowflake, ensuring performance, cost efficiency, and data quality.
• Design, develop, and maintain ELT/ETL pipelines using dbt(Data Build Tool) for data transformation and modeling
• Architect and implement cloud infrastructure on Microsoft Azure (ADF, ADLS Gen2, Azure Key Vault, Event Hubs, etc.)
• Manage and deploy data platform components using Helm charts on Azure Kubernetes Service (AKS)
• Establish and maintain CI/CD pipelines for data platform code using GitHub Actions, ensuring automated testing, deployment, and rollback capabilities
• Collaborate using GitHub for version control, code reviews, pull request workflows, and branching strategies
• Monitor data pipeline health, SLAs, and data quality using observability tooling
• Implement data governance best practices including lineage tracking, schema management, and access controls
• Mentor junior engineers and contribute to internal engineering standards and documentation
• Analyze and develop high quality software solution aligned to the business goals
• Should be able to work independently and collaboratively
• Should have excellent understanding programming, solid analytical and problem-solving skills
• Demonstrates the ability to quickly adopt new and competitive skills, driving efficiency and operational excellence.
• Experience dealing with users or clients from either a technical or business area.

Benefits

• Paid volunteer days
• Flexible work-life support
• Inclusive development opportunities