---
title: 'Senior Staff Software Engineer, Data at Juniper Square'
canonical: 'https://feeny.ai/job/senior-staff-software-engineer-data-juniper-square-americas-usa-or-tf4xbyq49tf2'
type: 'job'
last_seen: '2026-09-12'
---

# Senior Staff Software Engineer, Data at Juniper Square 

- **Company:** Juniper Square 
- **Location:** Americas Usa OR, Canada
- **Compensation:** $210k–$260k
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-07-08
- **Last confirmed live:** 2026-09-12
- **Apply:** https://jobs.ashbyhq.com/junipersquare/b68689b9-e8c8-457b-9764-1573be334ccc/application

**Skills:** Data Engineering, Data Analytics, Data Platform Architecture, SQL, Python, Scala, Java, dbt, Cube, Spark, Flink, AWS, Azure, GCP, Looker, Tableau, Power BI, Data Governance, Data Security, Distributed Processing

> Lead the transformation of data engineering and analytics into a modern, scalable Data Platform organization. Define architecture, drive hands-on engineering efforts, and ensure the ecosystem delivers high-quality, governed, and AI-enabled data insights.

## Job description

## About Juniper Square

Private markets are one of the largest, most complex, and most underserved corners of global finance. Our mission at Juniper Square is to unlock their full potential. We’re the Operations Partner trusted by 2,300+ GPs, unifying technology, data, and fund administration services into a single platform that helps GPs move faster, make better decisions, and scale with precision. With $300B+ under administration and 700,000+ LPs on platform, we’ve built the scale to match our ambition. And with JunieAI, our purpose-built AI platform, we’re reimagining how private markets operate, embedding intelligence across every workflow. Founder-led since 2014, backed by $350M+ in funding, and now 1,000+ employees strong, we’re building a company designed to shape the future of private markets for decades to come. Our culture is built for people who want to do ambitious, meaningful work alongside exceptionally talented teammates. We think like owners, move with urgency, and take pride in solving hard problems that truly matter to our customers and the future of private markets. We believe the best ideas come from open debate, deep collaboration, and diverse perspectives, which is why we believe transparency is the default and feedback makes us stronger. If you’re energized by high standards, rapid growth, and the opportunity to help define a category at a pivotal moment, come join us! Juniper Square offers employees a variety of ways to work, ranging from a fully remote experience to working full-time in one of our physical offices. We invest heavily in [digital-first](https://blog.junipersquare.com/juniper-square-ponders-future-of-office-with-digital-first-hybrid-workplace-strategy/) operations, allowing our teams to collaborate effectively across 27 U.S. states, 2 Canadian Provinces, India, Luxembourg, and England. We also have physical offices in San Francisco, New York City, Mumbai and Bangalore for employees who prefer to work in an office some or all of the time.

## About your role

We are seeking a Senior Staff Software Engineer to lead the transformation of our current data engineering and analytics function into a modern, scalable, product-oriented Data Platform organization. You will define the vision, architecture, operating model, and execution roadmap required to evolve from project-based data delivery to a platform that enables self-service, reliable, governed, and analytics-ready data across the company. This is a deeply hands-on leadership role for a technical expert who actively designs systems, prototypes solutions, reviews code, and guides teams through complex challenges. You will modernize our data stack, establish platform standards, introduce best practices for reliability and governance, and enable teams across the business to build data products efficiently and safely. In addition to platform transformation, you will ensure the data ecosystem delivers high-quality analytics and actionable insights. You will define architecture across ingestion, processing, modeling, semantic layers, analytics, and AI/ML enablement, ensuring data is trustworthy, accessible, secure, and performant. You will work closely with engineering leadership, product teams, analytics, and executive stakeholders to align technology strategy with business outcomes, mentor engineers, and build a data-driven culture. Success in this role means not only delivering a modern platform but also elevating the team’s capabilities, processes, and ways of working to operate as a true Data Platform organization.

## What you’ll do

Architecture & Technical Leadership

- Define and own the end-to-end data and analytics architecture strategy
- Design scalable batch, streaming, and real-time data systems
- Establish standards for data modeling, semantic layers, and reporting
- Lead architecture reviews and technical decision-making
- Drive adoption of modern architectures (lakehouse, data mesh, real-time analytics)

Hands-On Engineering

- Design and prototype critical data platform components
- Write production-quality code for complex or high-impact areas
- Review schemas, transformations, dashboards, and analytics models
- Troubleshoot performance and reliability issues across pipelines and queries
- Optimize workloads for latency, concurrency, and cost

Data Platform & Pipeline Ownership

- Design and architect a scalable data platform supporting ingestion, transformation, and delivery of both structured and unstructured data across batch and real-time pipelines.
- Design a "Data for Agents" strategy, ensuring our data warehouse is structured with the semantic layers and metadata necessary for LLMs to navigate it accurately.
- Build AI-ready data infrastructure, including vector stores, embedding pipelines, and retrieval systems that power LLM and agentic workflows.
- Develop a RAG-ready data architecture that enables trusted enterprise data retrieval with strong lineage, governance, security, and observability.
- Create curated data products and reusable APIs that make high-quality datasets easily consumable by applications, analytics platforms, and AI agents.
- Enable self-service data access for engineering, analytics, and business teams through standardized models, semantic layers, and platform capabilities.
- Partner with AI, product, and engineering teams to support training datasets, feature stores, and production AI inference pipelines.
- Build agentic ETL/ELT pipelines that use AI agents to autonomously discover sources and generate transformations.
- Ensure reliability, scalability, and resilience of the platform, including high availability, monitoring, and disaster recovery readiness.

Analytics & Business Intelligence

- Partner with product, finance, business operations, and leadership teams to define analytics needs
- Design scalable data models for reporting and advanced analytics
- Ensure analytics solutions are performant, trustworthy, and easy to use
- Drive adoption of data-driven culture through reliable insights

Governance, Quality & Security

- Define data governance, lineage, cataloging, and metadata standards
- Establish data quality frameworks and validation processes
- Ensure privacy, compliance, and secure access to sensitive data
- Implement role-based access controls and auditability

Leadership & Collaboration

- Mentor senior engineers, analytics engineers, and data scientists
- Partner with product, ML, platform, and business teams
- Translate business questions into scalable data solutions
- Influence roadmaps using data platform and analytics considerations
- Act as the executive technical authority for data and analytics

Operational Excellence

- Define SLAs/SLOs for data availability, freshness, and accuracy
- Establish monitoring, alerting, and incident response processes
- Optimize cloud costs and query performance
- Support capacity planning for data growth

Culture & Enablement

- Be an evangelist for pragmatic AI adoption.
- Help establish a culture of outcome-driven innovation.

## Qualifications

Required

- Advanced degree in Computer Science, Engineering, or related field
- 15+ years in data engineering, analytics engineering, or data platform roles
- Proven experience architecting large-scale data and analytics systems
- Strong hands-on experience with modern data stacks in cloud environments
- Deep expertise in data modeling for analytics (dimensional, star/snowflake, Data Vault, etc.)
- Advanced SQL skills and proficiency in Python, Scala, or Java
- Advanced expertise in dimensional data modeling and semantic layers (e.g., dbt, Cube) to provide "agent-readable" context.
- Expertise in real-time streaming frameworks such as Spark, Flink, or Beam.
- Experience building reporting and BI solutions at scale
- Strong understanding of both batch and real-time architectures
- Hands-on experience with AWS, Azure, or GCP data services
- Experience with BI tools (e.g., Looker, Tableau, Power BI, etc.)
- Strong understanding of data governance and security best practices
- Ability to operate at both executive and deeply technical levels

## Nice to Have

- Experience supporting AI/ML pipelines and feature engineering
- Familiarity with real-time analytics and event-driven architectures
- Experience implementing semantic layers or metrics stores
- Background in high-growth SaaS or data-intensive organizations
- Experience with experimentation platforms or product analytics

## Compensation

Compensation for this position includes a base salary, equity and a variety of benefits. The U.S. base salary range for this role is $235,000 - $285,000 USD. Actual base salaries will be based on candidate-specific factors, including experience, skillset, and location, and local minimum pay requirements as applicable.

Benefits include:

- Health, dental, and vision care for you and your family
- Life insurance
- Mental wellness coverage
- Fertility and growing family support
- Flex Time Off in addition to company paid holidays
- Paid family leave, medical leave, and bereavement leave policies
- Retirement saving plans
- Allowance to customize your work and technology setup at home
- Annual professional development stipend

Your recruiter can provide additional details about compensation and benefits.

## #LI-TG1

## About Juniper Square 

## Company Overview
- **One-liner**: Juniper Square provides a unified fund operating system and fund administration services that power operations for private market general partners (GPs).
- **Entity Type**: Private (Venture-backed; Total Funding $371M across 6 rounds)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2014
- **Founders**: Not publicly available

## Core Business
- **Primary industry/industries**: Financial Services – specifically private markets technology and fund administration
- **Target customers**: B2B – general partners (GPs) in private equity, venture capital, real estate, private debt, fund of funds, and wealth advisors; limited partners (LPs)
- **Mission or purpose statement**: *“Our vision is to create a world with radically expanded opportunities for participation in the private markets.”* — Juniper Square

## Products & Services
- **Juniper Square Platform (Fund Operating System)**: A connected software and data platform that centralizes fund operations – including fundraising, investor onboarding, fund accounting, treasury, compliance, reporting, and business intelligence. Serves 2,300+ GPs and 750,000+ LPs managing over $1 trillion in investor equity.
- **JunieAI / GPX Agents**: AI-powered agents embedded in the platform that accelerate period-close, generate PCAPs, analyze GL variances, run continuous compliance checks, and flag exceptions. Designed for the “agentic era.”
- **Headless GPX**: The same fund data model and workflow library exposed via MCP (Model Context Protocol), allowing AI tools like Claude, Microsoft Copilot, and ChatGPT to securely query fund data with full permissions and audit trail.
- **Fund Administration Services**: Expert-led services for fund accounting, investor services, and treasury – offered alongside the software for firms that want a full-service operations partner.

## Market Standing
- **Valuation/Market Cap**: Not publicly available
- **Key Metric**: Total Funding – $371M (as of latest round)
- **Notable Investors/Partners**: Not publicly available in search results
- **Growth Signals**:
  - Annual Revenue: $94.2M (LinkedIn estimate)
  - Headcount: 776 employees (+43.8% YoY, +289 people)
  - Operates in 8 countries (US, Canada, India, UK, France, Luxembourg, etc.)
  - Over 2,300 GPs and 750,000 LPs on the platform managing $1T+ in investor equity
  - Recognized as Forbes’ Best Startup Employer, Inc. 5000 Fastest-Growing Company, and Deloitte Tech Fast 500

## Competitive Advantages
- **Single source of truth** for all fund data – funds, assets, investors, and positions – eliminating silos.
- **Workflow library** covering every stage from first close to final distribution, built over 12 years of encoding private markets operations.
- **JunieAI & Headless GPX**: First-mover in enabling compliant, auditable AI access to private market data across any AI tool.
- **SOC-1 and SOC-2 compliance** for security and access control.
- **Unified software + services model**: Not just technology but a full fund operations partner, handling complexity at scale.

## Strategic Focus
- **AI-first platform**: Extending the fund operating system into the “agentic era” with AI agents and headless APIs.
- **Scaling fund administration**: Growing services alongside software to handle increasing complexity for GPs with large, diverse portfolios.
- **Global expansion**: Already in 8 countries, likely to deepen presence in Europe and Asia.
- **Product innovation**: Continued investment in data model, automation, and compliance workflows.

## Why Work Here
- **Culture & Values**: Juniper Square emphasizes “solve hard problems,” “think like an owner,” “better together,” and “sweat the details.” Employees are called “Junies.”
- **Remote-First with Options**: Default mode is cloud-based remote work. Physical office in San Francisco for those who prefer hybrid; strong employee communities in New York, Seattle, Toronto, Salt Lake City, San Diego, Denver, Chicago, and Los Angeles.
- **Benefits**: Competitive salaries and equity, professional development stipends, learning & training programs, employee resource groups (ERGs), and periodic in-person gatherings.
- **Growth Environment**: High headcount growth (+43.8% YoY) signals scaling opportunities. Internships and entry-level roles available in Engineering and Fund Administration.
- **Awards**: Forbes’ Best Startup Employers, Inc. 5000, Deloitte Tech Fast 500 – indicators of strong employer brand.

## Sources
1. [junipersquare.com](https://www.junipersquare.com/)
2. [junipersquare.com/company](https://www.junipersquare.com/company)
3. [junipersquare.com/company/careers](https://www.junipersquare.com/company/careers)
4. [junipersquare.com/company/careers/life-at-jsq](https://www.junipersquare.com/company/careers/life-at-jsq)
5. [linkedin.com/company/juniper-square](https://www.linkedin.com/company/juniper-square)

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