We are seeking a lead software engineer to join our Data Engineering and Data Delivery team, responsible for developing and maintaining the Enterprise Investment Performance Calculation Engine and related Info Delivery components. This role involves providing technical leadership in architecture, system design, and code quality while designing and building scalable data pipelines on Azure, Databricks, and Snowflake. You will collaborate with a global engineering team to deliver reliable AI/ML models and high-quality data for business intelligence, support implementation teams with platform accelerators, and manage overnight processing of investment accounting and performance data. The ideal candidate possesses strong technical skills in cloud-based DW solutions, experience with release engineering automation, and the ability to optimize total cost ownership. A bachelor’s degree in computer science or a related field and 10+ years of relevant experience are required for this role focused on financial data delivery at scale.
Skills
Azure
DataBricks
Snowflake
Python
AI
ML
CI/CD
Docker
Kubernetes
Terraform
PostgreSQL
AWS
Git
Jenkins
Prometheus
Grafana
Scalable Data Pipelines
Release Engineering
Total Cost Optimization
Investment Accounting
Fund Accounting
What you'll do
Provide technical leadership and oversight for architecture, system design, and code quality.
Design and maintain scalable data pipelines on Azure, DataBricks, and Snowflake.
Collaborate with global teams to deliver reliable AI/ML models and high-quality data.
Support implementation teams by providing platform accelerators and design patterns.
Automate release engineering processes for code distribution across client regions.
What we're looking for
Over 10 years of experience in software engineering with a bachelor’s degree in computer science or IT.
Proven technical leadership and oversight in architecture, system design, code quality, and mentoring.
Expertise in building scalable data pipelines on Azure, DataBricks, and Snowflake.
Experience in release engineering automation for distributing code to different client regions/instances.
Strong ability to optimize total cost of ownership for compute and platform infrastructure.
Skilled in addressing data issues, performing impact analysis, root cause analysis, and maintenance.
Market check
Salary context
This
$120,000–$202,500
range sits above
44%
of similar postings on FindRole.
Peer median band
$128,250–$213,480
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$151,500–$200,125
Middle half of comparable postings.
Based on 240 comparable postings.*
* 240 is the maximum number of comparable postings sampled.
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
133 open roles
on FindRole.
Listed pay typically runs
$110,000–$180,000
across 131 roles with salary data.
Python
Java
SQL
Data modeling
Financial systems
Market reference data
Agile methodology
Generative AI
Large Language Models (LLMs)
AI/ML concepts
Data governance
Privacy
Risk management
Regulatory requirements
Prompt design
Output validation
Quality controls
750 Seventh Ave- Ny, US21 days ago
$174,000–$210,000
Java
C++
Python
Spring Boot
Hibernate
Docker
Kubernetes
Jenkins
Maven
Gradle
Microservices Architecture
Design Patterns
Distributed Systems
MySQL
Microsoft SQL Server
Git
Linux
IntelliJ
Splunk
Bitbucket
Kafka
GitHub
JUnit
REST API
SOAP
Log4j
Cloud Native
Jira