Senior Data Engineer / Architect

Role Description

We are hiring a Senior Data Engineer / Architect to own the technical execution of our Golden Record platform and the broader data infrastructure that extends from it. The Golden Record is our central identity resolution system, resolving messy, overlapping client and instrument data from five source systems into canonical entities.

This is not a “build dashboards” role. You will design and build:

• Identity Resolution Platform:
  • The Golden Record — our central system for answering “who is this client?” and “what is this instrument?”
  • Entity registry, resolver API, and a human-in-the-loop review queue.
  • Integration with external reference data sources (OpenFIGI, EDGAR, GLEIF/LEI) for automated enrichment.
• Event Bus + Integration Architecture:
  • AWS EventBridge as the firm’s enterprise event bus.
  • Ownership of event contracts (JSON Schema with generated TypeScript/Python types) and schema enforcement.
  • Expansion from identity events into trade, research, CRM, and readership domains.
• Data Warehouse + Analytics:
  • Analytical layer built on dbt — staging models, dimensional marts, and bridge tables.
  • BI dashboards for client coverage, trading activity, readership analytics, and CRM gap analysis.
  • Data quality monitoring to track resolution rates, alias coverage, and entity drift.

Qualifications

• 8+ years building data platforms, backend services, or data engineering infrastructure.
• Deep experience with AWS serverless (Lambda, API Gateway, EventBridge, Aurora, CDK).
• Strong PostgreSQL skills — schema design, query optimization, migrations.
• Production experience with event-driven architecture (EventBridge, SNS/SQS, Kafka, or similar).
• Hands-on data warehouse and ETL/ELT experience — designed schemas, built pipelines, and operated a warehouse in production.
• dbt proficiency — staging/mart patterns, incremental models, testing, documentation.
• TypeScript or Python fluency (ideally both; TypeScript is primary for infrastructure).
• Experience with entity resolution, master data management, or identity matching problems.
• Active use of AI-assisted development tools (Cursor, Claude Code, Copilot, or similar).
• Comfort working autonomously in a small team with direct access to business stakeholders.

Requirements

• Familiarity with broker-dealer operations, trade lifecycle, or research distribution.
• Experience with CRM systems (Tier1/S&P Global, Salesforce, or similar).
• Data quality frameworks and monitoring (Great Expectations, dbt tests, custom).
• Prior experience at a small firm where you owned the full stack, not just one layer.

What this role is not

• This is not a data science or ML role — the entity resolution logic is rule-based and human-in-the-loop.
• This is not a front-end role — the primary UI is BI dashboards and a lightweight HITL review queue.
• This is not a large-team management role — you’ll be the primary technical executor.
• This is not a “move fast and break things” environment — data accuracy matters more than speed.

How we work

• Small team, high trust — decisions happen in conversation, not in tickets.
• Architecture-first — executing a clear vision, not inventing the architecture from scratch.
• AI-native development — using LLMs and agentic tools throughout our engineering workflow.
• Human-in-the-loop is core — building systems where humans are in the critical path.
• Legacy respect — wrapping old systems with a clean architecture.