Who we are looking for

We are looking for an experienced technology leader and solutions architect with deep expertise in data engineering, enterprise application development, solution architecture, and artificial intelligence, combined with strong financial-services domain knowledge.

The successful candidate will provide technical leadership across strategic platforms supporting Repo, Collateral Management, Asset Management, Custody, Securities Lending, Fixed Income, and related Global Markets functions. The role requires the ability to translate complex business requirements into scalable technology solutions, lead architecture and design decisions, guide engineering teams, and drive delivery across data, application, and AI initiatives.

The individual should be equally comfortable engaging with senior business stakeholders, defining future-state architecture, and working with engineering teams on detailed technical design and implementation.

What you will be responsible for

Lead solution architecture, technical design, and engineering strategy for complex financial-services applications and data platforms, translating business objectives into scalable target-state solutions.

Partner with business leaders, product owners, operations, architecture, and engineering teams to define requirements, develop technology roadmaps, perform solution estimation, and build executable project and implementation plans.

Design and modernize enterprise applications using microservices, Spring Boot, APIs, Kafka, MQ, Oracle/Exadata, Python, and distributed data-processing technologies, with focus on scalability, resiliency, performance, and maintainability.

Lead design of enterprise data architectures, data models, ETL/ELT pipelines, real-time integrations, CDC solutions, and analytical platforms using technologies such as Oracle, Databricks, Snowflake, Kafka, and related data-engineering frameworks.

Provide hands-on technical direction across Python, SQL, PL/SQL, Perl, database engineering, application development, performance tuning, and enterprise integration, including architecture and code reviews for critical systems.

Identify and architect opportunities to apply Generative AI, Retrieval-Augmented Generation (RAG), Agentic AI, OCR/vision models, and intelligent automation to complex financial-services and operational workflows.

Design enterprise AI solutions that integrate LLMs, trusted business data, APIs, application workflows, and human-in-the-loop controls, ensuring responses and actions are grounded, traceable, and aligned with business requirements.

Establish technical patterns for AI governance, guardrails, functional and non-functional evaluation, observability, monitoring, security, and responsible deployment of AI and agentic applications.

Drive adoption of AI-assisted engineering practices to improve software-development productivity, testing, analysis, and operational support while maintaining appropriate enterprise controls.

Lead and mentor distributed engineering teams, provide technical and functional guidance, and act as a senior escalation point for complex application, data, and production issues.

Collaborate with internal teams and external technology providers on vendor evaluation, RFPs, solution demonstrations, technical assessments, and buy-versus-build decisions.

Technical Expertise

Strong hands-on expertise in Python, SQL, PL/SQL, Oracle Database/Exadata, data modeling, ETL/ELT, data engineering, Databricks, Snowflake, Kafka, MQ, Spring Boot, microservices, APIs, and enterprise data-integration patterns; working knowledge of Perl and related development technologies.

Experience designing high-performance enterprise applications, real-time and batch data pipelines, data warehouses/lakehouse platforms, CDC solutions, distributed architectures, and scalable financial-data processing systems.

Strong practical knowledge of Generative AI, LLMs, RAG, Agentic AI, OCR/vision models, AI governance, guardrails, evaluation, human-in-the-loop workflows, and AI observability, with experience integrating AI capabilities into enterprise applications and data platforms.

Strong understanding of software engineering, application architecture, database performance, resiliency, scalability, security, production support, and enterprise SDLC practices.

Functional & Financial Services Expertise

Deep financial-services experience, preferably across Repo, Collateral Management, Asset Management, Cash and Money Markets, Fixed Income, Securities Lending, Custody, Trading, Settlements, and Back-Office Operations.

Strong understanding of investment and trading workflows, including experience partnering directly with portfolio managers, traders, research teams, operations, custody, accounting, and senior business stakeholders.

Experience with market and investment technology platforms such as Bloomberg, Charles River Development (CRD), market-data feeds, pricing platforms, and financial-data integration frameworks is strongly preferred.

Experience in Securities Lending, collateral optimization, custody, or financing businesses is preferred.

What we value

Deep expertise in software engineering, data architecture, solution design, and enterprise application development, with the ability to operate from strategic architecture through detailed technical implementation.

Demonstrated ability to independently analyze complex problems, evaluate solution options, make sound technical decisions, and deliver with minimal supervision.

Strong experience defining future-state architecture, technology roadmaps, estimates, project plans, dependencies, risks, and implementation strategies.

Proven ability to lead and mentor engineering teams, manage competing priorities, and provide technical direction across globally distributed delivery organizations.

Strong understanding of Agile/Scrum, Kanban, Waterfall, and hybrid delivery models, with experience working across the full software-development lifecycle.

Excellent written and verbal communication skills, including the ability to explain complex technical concepts to both senior technology leaders and business stakeholders.

Strong analytical, problem-solving, and troubleshooting capabilities with a focus on quality, performance, scalability, and business outcomes.

Education & Preferred Qualifications

15+ years of Information Technology experience, including significant experience in software engineering, data engineering, application architecture, and financial-services technology.

Extensive experience within financial services, with strong knowledge of Repo, Collateral Management, Asset Management, Custody, Securities Lending, or related capital-markets functions.

Demonstrated experience as a Solution Architect, Technical Lead, Engineering Lead, Application Architect, or senior technology manager leading complex enterprise initiatives.

Bachelor's or Master's degree in Computer Science, Computer Engineering, Electronics Engineering, Telecommunications Engineering, Information Technology, or a related technical discipline.

Professional certifications or advanced training in cloud, data engineering, AI/ML, enterprise architecture, or financial technology are preferred.

Work Requirement

Onsite 4 days a week in office and one day remote

Standard business hours aligned to project and stakeholder needs(8am to 5pm)

Salary Range:

$120,000 - $202,500 Annual

The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ.

Employees are eligible to participate in State Street's comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans.

For a full overview, visit https://hrportal.ehr.com/statestreet/Home.

About State Street

Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.

We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you'll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.

As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.

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It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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