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

About Our Client

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 firms 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.

What Youll 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 Were 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 Profile

The 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.

Required Experience:

Senior IC