Software Engineer, Data Distribution & Data IntelligenceLocation: Boston, MA or New York, NY
Work Style: Onsite
Boston Schedule: 4 days per week onsite
New York Schedule: 5 days per week onsite
Compensation: $180K-$210K base salary, plus discretionary bonus
Employment Type: Full-time
About the RoleOur client is hiring a
Software Engineer to join a core Data Platform Engineering team focused on data distribution, governed data access, and AI-powered data intelligence.
This team owns a primary governed data exchange platform that is evolving from an internal data catalog into a unified interface for discovering and accessing structured data products, AI-powered document analysis, business intelligence assets, and secure external client data.
This is a hands-on senior engineering role for someone who can build across modern web applications, backend services, cloud data platforms, identity and access controls, AI-enabled user experiences, and BI integrations.
The right candidate will be comfortable owning complex technical work, partnering with senior engineers and platform leaders, and helping deliver secure, scalable, enterprise-grade data products in a highly regulated environment.
What You'll Do- Build and enhance a governed enterprise data exchange platform used across the firm
- Develop modern full-stack applications using React, TypeScript, backend services, APIs, and cloud data integrations
- Support the evolution of the platform from a data catalog into a broader governed data access and intelligence experience
- Build user-facing experiences for structured data products, AI-powered document analysis, BI assets, and secure external data access
- Help design and implement secure external client access patterns, including authentication flows, entitlements, and simplified user experiences
- Build AI-powered data solutions, including governed Data Rooms, indexed document repositories, and structured data access experiences
- Deliver natural language and chat-based experiences that allow users to query structured and unstructured data
- Integrate data experiences with enterprise AI platforms, agent marketplaces, and internal analytics tools
- Support BI consolidation efforts through integrations with tools such as Sigma, Power BI, or similar platforms
- Partner with data engineering, data operations, product, architecture, analytics, and business stakeholders
- Build reusable patterns for APIs, authentication, authorization, data access, AI integration, observability, testing, deployment, and operational support
- Ensure systems meet enterprise expectations for security, reliability, performance, scalability, auditability, data classification, and regulatory controls
- Participate in architecture discussions, technical design reviews, implementation planning, and engineering quality improvements
What We're Looking For- Senior-level software engineering experience building user-facing data platforms, enterprise web applications, or complex products at scale
- Strong full-stack engineering skills, including modern React, TypeScript, and backend API or service-layer development
- Experience building over cloud-based data platforms
- Experience with Snowflake, lakehouse architectures, Apache Iceberg, AWS, or similar technologies
- Strong understanding of enterprise identity and access management
- Experience with SSO, RBAC, ABAC, entitlement models, or identity governance integrations
- Experience building secure internal or external-facing access patterns
- Hands-on experience with AI-powered product capabilities, such as LLM integration, retrieval over structured and unstructured data, natural language query interfaces, AI-assisted document analysis, or enterprise agent platforms
- Experience integrating BI tools such as Sigma, Power BI, Tableau, or similar platforms
- Strong SQL and Python skills
- Ability to work across application, data, integration, and AI technology layers
- Strong engineering judgment with the ability to build secure, scalable, reliable, observable systems
- Clear communication skills across engineering, product, operations, architecture, and business stakeholders
Preferred Experience- Experience in financial services or another highly regulated industry
- Familiarity with SOX-aligned controls, auditability, data classification, and governed access to sensitive information
- Experience with event-driven architectures and technologies such as Kafka
- Familiarity with enterprise data products, data catalogs, data marketplaces, semantic layers, metadata management, lineage, and governed self-service data access
- Experience modernizing or consolidating enterprise BI and reporting ecosystems
- Experience partnering with product, operations, or business teams where engineering owns technical design and implementation
Why This Opportunity- Join a highly visible AI, data, and platform engineering organization at a global investment firm
- Build mission-critical data distribution and intelligence products used across the enterprise
- Work on the next generation of governed data discovery, access, AI analytics, and BI integration
- Build across full-stack engineering, cloud data platforms, identity, AI, and business intelligence
- Contribute to secure, scalable, audit-ready systems in a highly regulated environment
- Work closely with experienced technical leaders and senior engineers
- Help shape how investment, analytics, operations, and client-facing teams access governed data and AI-powered insights
Ideal Candidate ProfileThe ideal candidate is a senior full-stack engineer with strong experience building enterprise data platforms, governed access systems, and AI-powered product experiences.
They are hands-on, product-minded, and comfortable working across frontend, backend, cloud data platforms, identity, AI, and BI tooling. They should be excited to build secure, scalable systems where governance, reliability, usability, and business impact all matter.
