Principal Solution Architect Jobs in New York
Principal Solution Architect jobs in New York sit at the intersection of one of the most active enterprise technology markets in the country, with demand concentrated in financial services, media, healthcare IT, and professional services and openings at every level from senior architect through distinguished or principal grade. The heaviest hiring clusters are in New York City, with additional activity in Albany and Buffalo, where IBM, JPMorgan Chase, and Cognizant maintain large delivery and advisory practices. Cloud architecture, enterprise integration, and AI-driven platform strategy are the most in-demand specialties across New York listings today. Find a role that fits below and apply directly.
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Showing 5 of 15+ Principal Solution Architect jobs
DESCRIPTION
AWS is seeking an experienced Principal Solutions Architect to join the Worldwide Financial Services Industry (FSI) Business Unit as a Capital Markets Industry Specialist, with deep expertise in data and analytics, generative AI, and high performance compute. This is an ideal role for someone who has built large-scale data platforms, quantitative research infrastructure, or machine learning systems in capital markets, and who is ready to bring that expertise to hedge funds, asset managers, quantitative trading firms, and broker-dealers as they modernize their research and analytics capabilities on AWS.
In this role, you will serve as a core technical leader on the Capital Markets Industry Specialist team, working directly with quantitative hedge funds, systematic asset managers, multi-strategy funds, broker-dealer research teams, and quantamental research shops to architect and accelerate their migration of data-intensive workloads to AWS. You will engage at the intersection of deep technical expertise and business strategy, helping customers understand how AWS can transform their quantitative research, alternative data integration, backtesting infrastructure, and generative AI-powered investment workflows. This role requires hands-on experience building in AWS, with a strong understanding of how to architect scalable, performant, and cost-effective solutions for the most demanding analytical workloads in capital markets.
ROLE AND RESPONSIBILITIES
-
Design and architect AWS solutions with a specific focus on data and analytics, generative AI, and high performance compute for capital markets customers, collaborating with AWS Business Development, Partner, and account teams to help hedge funds, asset managers, quantitative trading firms, and broker-dealers migrate to AWS.
-
Serve as the primary technical subject matter expert for quantitative research infrastructure on AWS, including data lake and lakehouse architectures, alternative data integration pipelines, backtesting and simulation frameworks, portfolio optimization engines, and risk analytics platforms.
-
Architect solutions for large-scale data ingestion, transformation, and analytics workloads, including real-time and batch processing of market data, fundamental data, alternative data (satellite imagery, NLP on earnings calls, credit card transactions, web scraping), and ESG datasets, leveraging services such as Amazon S3, AWS Glue, Amazon EMR, Amazon Redshift, Amazon Athena, and AWS Lake Formation.
-
Design and implement generative AI and machine learning solutions for quantamental research, including large language model (LLM) fine-tuning for financial document analysis, retrieval-augmented generation (RAG) architectures for research automation, sentiment analysis on news and social media, and agentic AI workflows for autonomous research and trading signal generation, leveraging Amazon Bedrock, Amazon SageMaker, and AWS Trainium/Inferentia.
-
Architect high performance compute (HPC) environments for computationally intensive workloads such as Monte Carlo simulations, options pricing, portfolio optimization, and quantitative backtesting, leveraging Amazon EC2 (compute-optimized and memory-optimized instances), AWS ParallelCluster, AWS Batch, and Amazon FSx for Lustre.
-
Engage directly with senior technical and business leaders at hedge funds (multi-strategy, long/short equity, quantitative, systematic macro), asset managers (active and passive), quantitative trading firms, and broker-dealer research teams to understand their data, analytics, and AI/ML requirements and develop compelling AWS-based solutions.
-
Develop and demonstrate technical feasibility through proof-of-concepts, prototypes, and reference architectures tailored to quantitative research and analytics workloads, including hands-on implementation of data pipelines, machine learning models, and HPC clusters on AWS.
-
Help customers evaluate and migrate their most data-intensive and compute-intensive workloads to AWS, including quantitative research platforms (e.g., Jupyter, RStudio, MATLAB), backtesting frameworks (e.g., Zipline, Backtrader, QuantConnect), and portfolio management systems, while addressing data governance, lineage, and compliance requirements specific to asset management and broker-dealer research.
-
Serve as a thought leader and evangelist for AWS in the capital markets data and analytics space, contributing to AWS blogs, whitepapers, reference architectures, and speaking at industry events such as Battle of the Quants, QuantMinds, and AWS re:Invent.
-
Capture and share best practices and insights internally and with partners and customers, building a repeatable playbook for data, analytics, GenAI, and HPC workload migration to AWS across hedge funds, asset managers, and broker-dealers.
-
Identify customer requirements and provide structured feedback into AWS service teams to influence the roadmap for data, analytics, AI/ML, and HPC services relevant to capital markets quantitative research.
-
Build trusted advisor relationships with senior executive stakeholders, as well as quantitative researchers, data scientists, data engineers, and infrastructure architects across the capital markets ecosystem, including CTOs, heads of quantitative research, and chief data officers at hedge funds, asset managers, and broker-dealers.
-
Think strategically about the evolution of quantitative research and investment technology, including the modernization of on-premises research infrastructure, the integration of alternative data and generative AI into investment workflows, and the emergence of agentic AI for autonomous trading and research.
BASIC QUALIFICATIONS
-
10+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
-
Bachelor's degree in computer science, engineering, mathematics or equivalent
-
Experience developing technology solutions and evangelising end-to-end technology roadmaps that guide IT transformations toward cloud computing
-
Experience communicating across technical and non-technical audiences and at C-level, including training, workshops, publications
PREFERRED QUALIFICATIONS
-
Knowledge of distributed systems design and implementation or equivalent
-
Knowledge of large scale automation and workflow management or equivalent
-
Knowledge of database design and implementation or equivalent
-
Knowledge of presentations and whiteboarding skills with a high degree of comfort speaking with internal and external executives, IT management, and developers
-
Experience architecting, migrating, transforming or modernizing customer requirements to the cloud
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
LOCATION
USA, NY, New York - 201,000.00 - 272,000.00 USD annually
DESCRIPTION
AWS is seeking an experienced Principal Solutions Architect to join the Worldwide Financial Services Industry (FSI) Business Unit as a Capital Markets Industry Specialist, with deep expertise in data and analytics, generative AI, and high performance compute. This is an ideal role for someone who has built large-scale data platforms, quantitative research infrastructure, or machine learning systems in capital markets, and who is ready to bring that expertise to hedge funds, asset managers, quantitative trading firms, and broker-dealers as they modernize their research and analytics capabilities on AWS.
In this role, you will serve as a core technical leader on the Capital Markets Industry Specialist team, working directly with quantitative hedge funds, systematic asset managers, multi-strategy funds, broker-dealer research teams, and quantamental research shops to architect and accelerate their migration of data-intensive workloads to AWS. You will engage at the intersection of deep technical expertise and business strategy, helping customers understand how AWS can transform their quantitative research, alternative data integration, backtesting infrastructure, and generative AI-powered investment workflows. This role requires hands-on experience building in AWS, with a strong understanding of how to architect scalable, performant, and cost-effective solutions for the most demanding analytical workloads in capital markets.
ROLE AND RESPONSIBILITIES
-
Design and architect AWS solutions with a specific focus on data and analytics, generative AI, and high performance compute for capital markets customers, collaborating with AWS Business Development, Partner, and account teams to help hedge funds, asset managers, quantitative trading firms, and broker-dealers migrate to AWS.
-
Serve as the primary technical subject matter expert for quantitative research infrastructure on AWS, including data lake and lakehouse architectures, alternative data integration pipelines, backtesting and simulation frameworks, portfolio optimization engines, and risk analytics platforms.
-
Architect solutions for large-scale data ingestion, transformation, and analytics workloads, including real-time and batch processing of market data, fundamental data, alternative data (satellite imagery, NLP on earnings calls, credit card transactions, web scraping), and ESG datasets, leveraging services such as Amazon S3, AWS Glue, Amazon EMR, Amazon Redshift, Amazon Athena, and AWS Lake Formation.
-
Design and implement generative AI and machine learning solutions for quantamental research, including large language model (LLM) fine-tuning for financial document analysis, retrieval-augmented generation (RAG) architectures for research automation, sentiment analysis on news and social media, and agentic AI workflows for autonomous research and trading signal generation, leveraging Amazon Bedrock, Amazon SageMaker, and AWS Trainium/Inferentia.
-
Architect high performance compute (HPC) environments for computationally intensive workloads such as Monte Carlo simulations, options pricing, portfolio optimization, and quantitative backtesting, leveraging Amazon EC2 (compute-optimized and memory-optimized instances), AWS ParallelCluster, AWS Batch, and Amazon FSx for Lustre.
-
Engage directly with senior technical and business leaders at hedge funds (multi-strategy, long/short equity, quantitative, systematic macro), asset managers (active and passive), quantitative trading firms, and broker-dealer research teams to understand their data, analytics, and AI/ML requirements and develop compelling AWS-based solutions.
-
Develop and demonstrate technical feasibility through proof-of-concepts, prototypes, and reference architectures tailored to quantitative research and analytics workloads, including hands-on implementation of data pipelines, machine learning models, and HPC clusters on AWS.
-
Help customers evaluate and migrate their most data-intensive and compute-intensive workloads to AWS, including quantitative research platforms (e.g., Jupyter, RStudio, MATLAB), backtesting frameworks (e.g., Zipline, Backtrader, QuantConnect), and portfolio management systems, while addressing data governance, lineage, and compliance requirements specific to asset management and broker-dealer research.
-
Serve as a thought leader and evangelist for AWS in the capital markets data and analytics space, contributing to AWS blogs, whitepapers, reference architectures, and speaking at industry events such as Battle of the Quants, QuantMinds, and AWS re:Invent.
-
Capture and share best practices and insights internally and with partners and customers, building a repeatable playbook for data, analytics, GenAI, and HPC workload migration to AWS across hedge funds, asset managers, and broker-dealers.
-
Identify customer requirements and provide structured feedback into AWS service teams to influence the roadmap for data, analytics, AI/ML, and HPC services relevant to capital markets quantitative research.
-
Build trusted advisor relationships with senior executive stakeholders, as well as quantitative researchers, data scientists, data engineers, and infrastructure architects across the capital markets ecosystem, including CTOs, heads of quantitative research, and chief data officers at hedge funds, asset managers, and broker-dealers.
-
Think strategically about the evolution of quantitative research and investment technology, including the modernization of on-premises research infrastructure, the integration of alternative data and generative AI into investment workflows, and the emergence of agentic AI for autonomous trading and research.
BASIC QUALIFICATIONS
-
10+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
-
Bachelor's degree in computer science, engineering, mathematics or equivalent
-
Experience developing technology solutions and evangelising end-to-end technology roadmaps that guide IT transformations toward cloud computing
-
Experience communicating across technical and non-technical audiences and at C-level, including training, workshops, publications
PREFERRED QUALIFICATIONS
-
Knowledge of distributed systems design and implementation or equivalent
-
Knowledge of large scale automation and workflow management or equivalent
-
Knowledge of database design and implementation or equivalent
-
Knowledge of presentations and whiteboarding skills with a high degree of comfort speaking with internal and external executives, IT management, and developers
-
Experience architecting, migrating, transforming or modernizing customer requirements to the cloud
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
LOCATION
USA, NY, New York - 201,000.00 - 272,000.00 USD annually
See All 15 Principal Solution Architect Jobs in New York
Find roles in New York that match your experience and apply in just a few clicks.
Find JobsPrincipal Solution Architect Jobs by City in New York
Where New York roles are concentrated, by current openings.
Principal Solution Architect Job Market in New York
A snapshot from current New York openings, updated as new roles post.
Who's Hiring
- Amazon Web Services2
- Wolters Kluwer2
- ADPMN1
- Anaplan1
- Bain & Company1
Top Industries Hiring
- Technology & Software10
- Consulting & Professional Services2
- Accounting & Auditing1
- E-Commerce & Online Marketplaces1
- Media & Entertainment1
What New York Employers Look For
The qualifications that appear most often in principal solution architect jobs across New York.
- Bachelor's or master's degree in computer science, engineering, or a related technical field
- Ten or more years of enterprise architecture or solution design experience across complex environments
- Demonstrated expertise in cloud platforms such as AWS, Azure, or Google Cloud at scale
- Experience leading cross-functional technical teams and influencing senior stakeholders and executives
- Proficiency in enterprise architecture frameworks such as TOGAF, Zachman, or equivalent methodologies
- Strong background in financial services, media, or healthcare IT systems common to New York employers
Principal Solution Architect Jobs in New York: Frequently Asked Questions
How do you become a principal solution architect in New York?
There is no state-issued license required to work as a principal solution architect in New York. The typical path combines a bachelor's or master's degree in computer science or a related field with progressive years of enterprise architecture experience. Most New York employers in finance and professional services also expect vendor certifications such as AWS Solutions Architect Professional or Azure Solutions Expert, alongside a portfolio demonstrating large-scale platform delivery.
How much do principal solution architects make in New York?
Principal solution architects in New York earn a median of about $140,390 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $83,260 for the lowest 10% to over $214,590 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire principal solution architects in New York?
Employers hiring principal solution architects in New York right now include Amazon Web Services, Wolters Kluwer, and ADPMN, based on current listings on Migrate Mate as of June 2026. New York's concentration of global financial institutions, major media companies, and large consulting firms means demand for this role is broad and sustained across multiple industries.
Which New York cities have the most principal solution architect jobs?
New York, Harrison, and New York City have the most principal solution architect openings in New York. New York City dominates the distribution given the density of global banks, insurance carriers, and technology consultancies headquartered there, while Albany draws openings from state government IT modernization programs and Buffalo benefits from regional healthcare systems and growing technology campuses.
Are there remote principal solution architect jobs in New York?
Yes, and more than most fields. Principal solution architect work is largely advisory and design-oriented, making it well suited to distributed arrangements. About 27% of principal solution architect openings tied to New York are remote or hybrid as of June 2026, reflecting how common flexible models have become for senior architects. The phases most frequently done remotely are discovery workshops, architecture reviews, and documentation, while client-facing delivery engagements often require periodic on-site presence.
How can I get hired as a principal solution architect in New York with little or no experience?
The most realistic entry path is moving into a solutions or associate architect role from a senior engineer or technical lead position at a New York-based employer. Large consulting firms and financial institutions in New York City regularly pull strong senior engineers into architecture practices through internal rotation programs. Building a portfolio of architecture decision records, pursuing an AWS or Azure associate certification, and targeting mid-market professional services firms that train architects internally all improve early candidacy.
Where can I find and apply to principal solution architect jobs in New York?
You can find and apply to principal solution architect jobs in New York on Migrate Mate, which lists current New York openings from employers actively hiring for the role. Find the roles that fit your background and apply directly to the ones that match.
See All 15 Principal Solution Architect Jobs in New York
Find roles in New York that match your experience and apply in just a few clicks.
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