About the role

Role Overview

Staff Software Engineer (Data Platform) on a foundational initiative to build an intelligent data platform for private markets. You will design core pipeline components, drive end-to-end technical architecture, and build AI evaluation infrastructure to ensure reliable outputs for critical financial data.

Key Missions

Conception and delivery of data pipeline components, including normalization, validation, and distribution.
Partner with senior engineers to define end-to-end architecture of an intelligent data warehouse.
Design and implement an evaluation framework to make AI-generated results reliable in critical financial contexts.
Translate product and engineering requirements into executable technical plans.

Responsibilities

Lead technical architecture and set technical standards.
Build and ship production systems (not primarily management or directing others).
Create clear written documentation for both engineering and product audiences.

Requirements

7+ years of software engineering with demonstrable Staff-level technical scope and impact.
Strong hands-on background in data pipeline / data warehouse engineering, including:
- Schema design
- ETL/ELT patterns
- Normalization
- API-based data distribution
Production experience building with LLMs, including:
- prompt design, model orchestration, evaluation, and output validation in real systems
Experience with RAG pipelines, vector stores, and/or document extraction systems.
Background in financial services data (fund administration, investment data schemas, institutional reporting workflows) is a meaningful differentiator.
AWS data infrastructure experience; Redshift is a plus.
Portfolio of shipped production systems.
Strong written communication.
Ability to step into technical lead/TLM responsibilities on an early-stage or new product team.
Fluency with AI-assisted and agentic development workflows (used daily with strong opinions).
Experience building data products / managed data services for external customers.

Nice to Have

Redshift experience.
Experience shipping data services for external consumers rather than internal tooling only.

About Juniper Square

Juniper Square is building an intelligent data platform for private markets. The role focuses on designing and delivering core data pipeline and AI evaluation infrastructure for financial and institutional data use cases within a foundational engineering effort.

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