Senior Engineer, Data Platform - AR

Software Engineer, Data Distribution & Data Intelligence

Location:

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

Our client is a leading global investment firm with deep capabilities across alternative asset management, capital markets, insurance solutions, private equity, credit, real assets, and strategic investment platforms.

The firm is investing heavily in AI, data, and platform technologies to modernize how teams discover, govern, access, and apply data across the enterprise.

This role sits within the firm's AI, Data, and Platform Technologies engineering organization, which builds foundational data and AI capabilities that support global scale, business transformation, and measurable business impact.

About the Role

Our 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.

• Build and enhance a governed enterprise data exchange platform used across the firm
• Develop modern full-stack applications using React, Type Script, 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

• 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, Type Script, 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…