Investment Digital Architect

Company Overview

At Bridgenext, we engineer Growth Operating Systems. Most enterprises have spent millions on their revenue stack and still aren't seeing the growth they expected.They have tools that function, but no system that wins. We help growth-hungry companies close that gap by turning fragmented platforms, siloed teams, and disconnected data into one integrated Growth OS. More than a technology company or marketing agency, we're a global digital consultancy with experts in engineering, data, AI, creative and more.

Our teams are made up of experts who believe in engineering impact, starting with putting people at the center of everything we do. Every team member directly shapes our work, culture, and values. Nothing matters more to us than a kind, respectful, fulfilling environment that supports everyone. Our flexible, inclusive culture gives you the autonomy, resources, and opportunities to thrive.

Position Description

Bridgenext is seeking a Investment Digital Architect with deep hands-on engineering experience and demonstrated domain knowledge in Investment Account and Asset management, or adjacent financial services platforms.

Our client, a large financial services firm, is building a governed, cloud-native investment data platform that replaces many spreadsheet and stored-procedure-based tools with reusable data and analytics services on Azure.  This work will require a senior, domain-heavy architect who combines investment data expertise with Azure solution design. The role shapes the investment data model and roadmap with business and technology leaders and turns the target architecture into designs that delivery teams can build.

Key Responsibilities:

• Serve as the senior domain authority on core investment data: holdings, securities (public and private markets), counterparties and relationships, and transactions.
• Define the architecture and data models for an investment book of record, including reference and market data, benchmarks, and restricted securities/products.
• Design the data layers on Azure and a modern lakehouse platform: operational store, analytical history, serving marts, caching and governance, with clear data contracts and conformed dimensions.
• Align designs to asset management operating processes, from front-office decisions through investment operations to reporting, and define integration patterns with upstream investment systems.
• Shape the target-state investment data roadmap and contribute domain judgment to prioritization and MVP sequencing.
• Define service and API contracts and microservice patterns for workflow- and calculation-heavy services.
• Act as the bridge between investment and operations stakeholders and the delivery teams, coordinating with enterprise architecture and data teams.

Workplace: This role is hybrid and open to candidates in the Greater Boston area who are willing to travel to the office 2-3 times per week.

Must Have Skills:

• Senior experience with holdings, security, relationship and transaction data domains, across both public and private markets.
• Direct experience with restricted securities/products and Bloomberg data.
• Deep expertise in asset management data and analytics, and a record of shaping investment data architecture and models, ideally in a large asset manager.
• Strong grasp of asset management operating processes (front-to-back data flows, investment operations) and investment book of record concepts.
• Azure cloud-native architecture: Kubernetes, API management, messaging/eventing, Azure SQL.
• Strong relational and information design, plus service-oriented design with Java/Spring Boot (or .NET) exposure.
• Credibility with senior business and technology stakeholders: able to influence strategy, not just deliver requirements.

Preferred Skills:

• Experience defining or contributing to a multi-year investment data roadmap or target-state data ecosystem.
• Databricks or comparable modern data platform experience in an advisory or architecture role.
• CFA or equivalent investment-domain credential.
• Data governance, lineage, metadata and semantic-layer experience; Python for analytics services.
• Experience with financial services governance and architecture review processes.

Bridgenext is an Equal Opportunity Employer

US citizens and those authorized to work in the US are encouraged to apply

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