Software Engineering & Development, VP

State Street

Confirmed live today High trust

Hybrid

Quick summary

Work type: Hybrid
Location: Quincy, MAPrinceton, NJ
Salary: $120,000–$202,500 / yr
Employment: Full-time
Posted: 3 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $187k

This role $161k

$108k most similar roles pay here $234k

This role pays less than 69% of similar roles. Most pay $152,150–$222,000 — the shaded band above. At the midpoint, this role pays about $161k versus about $187k 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 200 open roles on FindRole.

Listed pay typically runs $120,000–$202,500 across 191 roles with salary data.

Most-posted roles

View all roles at State Street

At a glance

TL;DR · Software Engineering & Development, VP

Role Posting Log in to save

T26-9766;Software Engineering & Development, VP serves as a Data Engineer Lead responsible for developing, maintaining, and optimizing data pipelines and systems to support the acquisition, storage, transformation, and analysis of large volumes of data. You will collaborate with cross-functional teams to design and implement ELT/ETL processes, manage data models, and ensure data integrity across various business needs. The role involves migrating on-prem applications to the cloud while managing infrastructure in Azure, including Data Lake, Synapse, and Databricks Delta Lake. Key technologies include Snowflake, Databricks, Azure Data Factory, SQL Server, Oracle, Teradata, Scala, and Java. You will also manage security measures like RBAC and ABAC, optimize query performance, and oversee data governance. This role addresses the technical challenge of integrating diverse data sources into a unified view for downstream consumption within the financial industry.

Skills

Snowflake Databricks Azure SQL Scala Java ETL ELT Data Modeling Azure Data Factory Synapse Data Lake Teradata SQL Server Oracle Git SVN Docker Kubernetes Agile

What you'll do

Design, develop, and maintain data pipelines in Azure for ingesting and transforming data into Databricks and Snowflake.
Implement ELT/ETL processes to ensure data quality, consistency, and reliability across diverse sources.
Create and optimize data models and database schemas for structured and unstructured data storage.
Migrate existing on-premise applications to cloud environments, specifically focusing on Azure services.
Monitor pipelines, troubleshoot issues, and implement security measures like RBAC and ABAC for sensitive data.
Identify performance bottlenecks and optimize queries, data structures, and infrastructure configurations.
Document data engineering processes, data flows, and system configurations for the technical team.
Manage multiple instances of databases and servers while providing technical guidance to the development team.

What we're looking for

Bachelor’s Degree level qualification in a computer or IT related subject.
12+ years of overall IT industry experience.
12+ years of overall data pipeline and Data Warehousing experience.
5+ years of experience as a Data Engineer focusing on Azure Databricks and Snowflake.
5+ years of experience in cloud-based development including Azure Services, Cosmos, Kubernetes, and Docker.
Proficiency in SQL and programming languages such as Scala or Java.
Experience with version control systems like GIT and SVN.
Azure certifications such as Azure Data Engineer Associate or Azure Solutions Architect (preferred).

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