Onsite Data Engineering Lead: Azure, Snowflake & Databricks

STATE STREET CORPORATION; Princeton (NJ); On-site; USD 130,000 - 213,000; Full time

Benefits offered by this job

401K match

Insurance (medical/dental/vision)

Paid time off

Employee Assistance Program

Performance-based awards

Tax-advantaged savings plans

Job summary

State Street Corporation is seeking a Data Engineer Lead to design, develop, and maintain Azure-based data pipelines that ingest, transform, and load data into centralized data lakes and Snowflake data warehouse. You will ensure data quality, reliability, and security while supporting cross-functional teams.

The role emphasizes 4 days onsite with one remote day, migration of on-premise apps to Azure, and collaboration with global teams to optimize data infrastructure and governance.

Qualifications

• Bachelor’s degree in computer/IT field and 12+ years in IT.
• 8+ years in data pipeline and data warehousing.
• 5+ years as Data Engineer focusing on Azure Databricks and Snowflake.
• 5+ years cloud-based development including Azure Services, DevOps, Kubernetes, Docker.

Responsibilities

• Design, develop, and maintain data pipelines in Azure for ingesting, transforming, and loading data into central lakes and Snowflake.
• Ensure data quality and integrity through ELT/ETL processes and data modeling.
• Collaborate with analysts, software engineers, and operations to meet data requirements.

Skills

Azure Data Factory

Azure Synapse Analytics

Azure Databricks

Snowflake

SQL

Scala

Java

Data Modeling

RBAC/ABAC

ETL/ELT

Education

Bachelor’s Degree in Computer Science/IT

Tools

Databricks

Snowflake

Azure

Job description

State Street Corporation is seeking a Data Engineer Lead to design, develop, and maintain Azure-based data pipelines that ingest, transform, and load data into centralized data lakes and Snowflake data warehouse. You will ensure data quality, reliability, and security while supporting cross-functional teams.

The role emphasizes 4 days onsite with one remote day, migration of on-premise apps to Azure, and collaboration with global teams to optimize data infrastructure and governance.