Sr. Data Engineering Lead, Onsite, VP

State Street

Hybrid

Quick summary

Work type
Hybrid
Location
Quincy, MA · Princeton, NJ · Boston, MA
Salary
$120,000–$202,500 / yr
Posted
16 days ago
Closes
Jun 30, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $192k
This role $161k
$107k most similar roles pay here $238k

This role pays less than 73% of similar roles. Most pay $161,250–$222,250 — the shaded band above. At the midpoint, this role pays about $161k versus about $192k for comparable roles.

Based on 240 similar postings.

Employer

About State Street

State Street Corporation is one of the world''s largest custodian banks and asset managers, providing investment servicing, investment management, and investment research to institutional investors. Industry: Financial Services & Asset Custody

State Street currently has 63 open roles on FindRole.

Listed pay typically runs $120,000–$177,500 across 62 roles with salary data.

Most-posted roles

View all roles at State Street

At a glance

TL;DR · Sr. Data Engineering Lead, Onsite, VP

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As a Data Engineer Lead, you will join our dynamic data engineering team to develop and maintain robust data pipelines on Azure, focusing on ingesting, transforming, and loading large volumes of data into centralized data lakes. Your daily tasks include designing efficient ELT/ETL processes, developing transformation scripts in Scala or Java, and ensuring data quality through rigorous validation controls. You will leverage modern tools like Databricks Delta Lake and Azure Data Factory to streamline data processing while collaborating closely with analysts and software engineers to meet diverse business needs. This role demands expertise in Azure services such as Synapse Analytics and SQL Database, along with a strong background in data warehousing and dimensional modeling. Ideal candidates have extensive experience in cloud-based development, particularly on Azure, and possess excellent problem-solving skills alongside solid communication abilities to work effectively within cross-functional teams.

Skills

Azure Azure Synapse Analytics Azure Data Factory Azure Databricks Azure SQL Database SQL Scala Java Snowflake Git CI/CD Kubernetes Docker DataBricks Python PostgreSQL Oracle Azure DevOps

What you'll do

  • Design, develop, and maintain data pipelines in Azure for ingesting, transforming, and loading data.
  • Ensure data quality and integrity throughout the process of data ingestion and transformation.
  • Develop efficient ELT/ETL processes to ensure data consistency and reliability across systems.
  • Integrate diverse data sources to provide a unified view of information for analysis and reporting.
  • Optimize data storage and access in Azure Data Lakes and Databricks Delta Lake for performance and scalability.
  • Collaborate with cross-functional teams to understand data requirements and deliver effective technical solutions.

What we're looking for

  • - Strong experience in data engineering, including ETL/ELT processes and data modeling.
  • - Hands-on experience with Azure services such as Synapse Analytics, Data Factory, Databricks, SQL Database.
  • - Proficiency in SQL and programming languages like Scala or Java; knowledge of Snowflake is a plus.
  • - In-depth understanding of data warehousing concepts, dimensional modeling, and best practices.
  • - 8+ years of experience designing and implementing data solutions on Azure Databricks.
  • - Experience working in a multi-developer environment using version control systems (e.g., Git).
  • - Excellent problem-solving skills and ability to collaborate effectively with cross-functional teams.

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