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State Street

Software Engineering & Development, AVP

State Street

. Contribute to the development, enhancement, and maintenance of the Enterprise Investment Performance Calculation Engine and associated Info Delivery components .

Posted 9/24/2026full-timeQuincy • Massachusetts • United StatesLead💰 $90,000 - $157,500 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building and maintaining scalable data pipelines using Azure, Databricks, and Snowflake, while providing technical leadership in architecture and system design. Capable of optimizing compute infrastructure and supporting AI/ML model development for high-quality business intelligence.

Highest-signal resume keywords
AzureDatabricksSnowflakeTechnical LeadershipData Pipeline Development

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data Pipeline DevelopmentCloud-Based Data Warehouse SolutionsAI-Enabled ProgrammingCode Quality OversightImpact AnalysisRoot Cause AnalysisCorrective MaintenanceAdaptive MaintenancePerfective MaintenanceSoftware Engineering
Soft Skills
MultitaskingFast LearnerProblem Solver
Tools & Technologies
Enterprise Investment Performance Calculation EngineInfo Delivery ComponentsPlatform AcceleratorsDesign PatternsRelease Engineering Automation
Certifications & Qualifications
Bachelor’s Degree in Computer or IT Related Subject
Industry Keywords
Investment AccountingFund AccountingPerformance DataCOB ProcessingSOB Processing

Tech Stack

Tools & technologies
AzureCloud

About the role

Key responsibilities & impact
  • Contribute to the development, enhancement, and maintenance of the Enterprise Investment Performance Calculation Engine and associated Info Delivery components
  • Build cloud-based data warehouse solutions for F2B clients in North America
  • Provide technical leadership and oversight across architecture, system design, and code quality
  • Create proof of concepts, conduct code reviews, and mentor engineers
  • Design, build, and maintain scalable data pipelines on Azure, Databricks, and Snowflake
  • Collaborate with global engineers and operational analysts to provide feature sets for AI/ML models and high-quality business intelligence data
  • Support implementation and operations teams with platform accelerators and design patterns
  • Release engineering automation for code distribution across client regions and instances
  • Optimize total cost of ownership for compute and platform infrastructure
  • Support overnight COB/SOB processing of investment accounting, fund accounting, and performance data
  • Manage client information delivery
  • Address data and environment issues through impact analysis, root cause analysis, and corrective, adaptive, and perfective maintenance

Requirements

What you’ll need
  • Bachelor’s Degree level qualification in a computer or IT related subject
  • 8+ years of experience
  • Lead software engineering experience
  • Technical leadership across architecture, system design, and code quality
  • Experience with Azure, Databricks, and Snowflake
  • Good understanding of AI-enabled programming
  • Ability to multitask
  • Fast learner and problem solver
  • Ability to work onsite four days in the office and one day remotely
  • Availability for 8:30 AM to 5 PM, with flexibility
  • Ability to support overnight COB/SOB processing operations

Benefits

Comp & perks
  • Retirement savings plan (401K) with company match
  • Basic life insurance
  • Medical insurance
  • Dental insurance
  • Vision insurance
  • Long-term disability insurance
  • Optional additional insurance coverages
  • Paid time off including vacation, sick leave, short-term disability, and family care responsibilities
  • Employee Assistance Program
  • Incentive compensation including eligibility for annual performance-based awards
  • Eligibility for certain tax-advantaged savings plans
  • Inclusive development opportunities
  • Flexible work-life support
  • Paid volunteer days
  • Employee networks