Quality Assurance Automation Lead - Data Engineering
About the job
- A bachelor's degree in Computer Science, Data Engineering, or equivalent professional experience.
- Seven to ten years of experience in Software Quality Assurance, including the ability to lead end-to-end testing efforts across the full software and data lifecycle.
- Knowledge of relational databases and strong proficiency in SQL, including writing complex queries for data validation, reconciliation, and root cause analysis.
- A solid understanding of data engineering concepts, including data pipelines, ETL/ELT workflows, data warehouse architecture, and OLAP technologies such as Redshift, Snowflake, or BigQuery.
- Strong proficiency in Python, including the ability to read, understand, and debug data pipeline code.
- Proven experience in QA automation, including designing and implementing automated test frameworks, test suites, and CI/CD-integrated testing pipelines.
- Experience using AI-powered tools such as Augment, Cursor, and Gemini to accelerate test authoring, assist with debugging automation scripts, and optimize data documentation workflows.
- Experience managing the full release cycle for data features, from scoping testing requirements to final Go/No-Go delivery decisions.
- Excellent analytical and problem-solving abilities, exceptional attention to detail, and the ability to work independently in fast-paced Agile development teams with minimal supervision.
- Strong written and verbal communication skills in English.
- Own data quality and reliability for the project.
- Drive the end-to-end data testing strategy, ensuring the integrity, accuracy, and performance of data pipelines and analytical platforms, and oversee release readiness.
- Collaborate with data engineering, product, and data science teams to define and drive manual and automated testing efforts.
- Partner with Data Engineering and Product leadership to define the data validation and automation strategy for data platform features and new architecture releases.
- Design and execute complex test cases targeting backend data systems, focusing on data integrity, distributed systems logic, data transformation consistency, and asynchronous batch or stream processing.
- Leverage AI-powered tools such as Cursor or Augment to rapidly prototype, scaffold new test suites, diagnose failures, and generate advanced data validation test scenarios.
- Develop, maintain, and extend scalable data automation frameworks and data quality monitoring suites by leveraging large language models.
- Establish and enforce data QA best practices, coding standards, and rigorous code review processes for the automation team.
- Foster a culture of technical excellence and proactive problem-solving.
- Champion an automation-first approach to data quality, minimize reliance on manual data reconciliation, and partner with data engineering to systematically decrease manual testing effort.
- Proactively leverage AI tools such as Cursor and Gemini to accelerate test authoring, debugging, and maintenance of data automation frameworks.
About the company
Juniper Square provides end-to-end software for private investment partnerships, serving GPs and LPs in commercial real estate, private equity, and venture capital. Its platform unifies fundraising, investor operations, and fund administration into a single system to manage investment data and workflows. It delivers a centralized, secure view of investment data with role-based access, speeding up investment closes and reducing manual work. The system is built to scale for firms of any size and structure, offering consistent data and safe data sharing to improve collaboration.
Company Size
1,001-5,000
Company Stage
Series D
Total Funding
$371M
Headquarters
San Francisco, California
Founded
2014
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Simplify's Take
What believers are saying
- September 23, 2026 Capital Intelligence deepens Juniper Square's Nasdaq eVestment partnership.
- Mar. 27, 2026 Kudu selected Juniper Square for its 32 partner firms.
- Juniper Square says 2,300 GPs and $1 trillion LP capital now run on-platform.
What critics are saying
- Apr. 2026 sales restructuring and executive exits signal go-to-market instability.
- Nasdaq eVestment and Preqin integrations commoditize Juniper Square's investor-intelligence layer.
- SS&C Advent, Allvue, and Dynamo can bundle fund admin, erasing Juniper Square's moat.
What makes Juniper Square unique
- Juniper Square unifies CRM, fund accounting, compliance, and LP communications in one system.
- Headless GPX, launched June 2, 2026, exposes workflows to Claude and Copilot.
- Capital Intelligence and Fay embed private-markets AI directly into Juniper Square's workflow.
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Benefits
Competitive salary
Meaningful equity
Health, dental, & vision care
Unlimited vacation policy
Generous paid family leave, medical leave, & bereavement leave policies
401k retirement savings plan
Healthcare FSA & commuter benefits programs
Professional development stipend
Monthly work from home wellness stipend
Mental wellness coverage
Home office productivity allowance
Growth & Insights and Company News
6 month growth
↓ -2%1 year growth
↓ -1%2 year growth
↓ -2%Juniper Square, Nasdaq eVestment launch AI tool for private markets fundraising teams. * September 24, 2026 * - 10:24 am Juniper Square has partnered with Nasdaq eVestment to launch Capital Intelligence, an AI-powered tool designed to give private markets investor relations teams greater visibility into institutional investors and fundraising opportunities. The new tool is being introduced within Juniper Square's existing Investor CRM and incorporates institutional market data from Nasdaq eVestment Market Lens. CXapital Intelligence is designed to allow general partners to update investor and consultant information, identify potential new relationships, and monitor changes without leaving their existing CRM workflow. The launch comes as private markets managers compete for a more concentrated pool of institutional capital. Juniper Square said Capital Intelligence is intended to address the challenge of maintaining accurate and current information on investors, consultants and allocation activity. The Nasdaq eVestment data incorporated into the platform covers more than 30,000 institutional firms, 70,000 mandates and 100,000 investment professionals. The information includes structured investor and relationship data alongside qualitative indicators such as allocation trends, pacing plans and consultant sentiment. Capital Intelligence includes three core functions. An AI matching capability can identify potential links between existing CRM contacts and Nasdaq's institutional database, allowing fundraising teams to review and approve matches in bulk. A Pipeline Builder function allows users to search the Nasdaq dataset for investor and consultant professionals and institutional firms, using filters including firm type, assets under management and geography. Potential contacts can then be added to the CRM. The platform also monitors changes at investor and consultant organisations, alerting users to relevant developments so that teams can review and validate updates before incorporating them into their relationship records. Capital Intelligence is available to general partners raising institutional capital. Existing Juniper Square clients that already subscribe to Nasdaq eVestment Market Lens can connect their existing subscription. The launch is the latest step in Juniper Square's broader push to incorporate AI directly into its private markets platform. The company launched Headless GPX in June and subsequently made Fay, its first GPX Agent, generally available in July. Juniper Square said it now serves more than 2,300 private markets general partners, with more than $1tn in limited partner capital managed through its platform.
Juniper Square has launched Capital Intelligence, an AI-powered tool for private markets investor relations teams. The product integrates Nasdaq eVestment Market Lens data directly into Juniper Square's CRM system. Capital Intelligence provides access to institutional investment intelligence covering over 30,000 institutional firms, 70,000 mandates, and 100,000 key professionals. The tool automatically updates investor and consultant records, combining relationship data with insights like pacing plans and allocation trends. The launch follows Juniper Square's release of Headless GPX in June and its Fay AI agent in July. Juniper Square serves over 2,300 private markets general partners globally, with more than $1 trillion in limited partner capital managed through its platform. Firms with existing Nasdaq eVestment Market Lens subscriptions can connect them to the new tool.
Juniper Square has launched Fay, an AI-powered Admin Oversight Agent that automatically reviews fund administrator deliverables for general partners. The tool runs over 150 accuracy and consistency checks across financial statements, partner capital account statements, and supporting documents, catching errors before they reach auditors or investors. The agent reduces financial statement review time by approximately 80% for CFOs and controllers. It uses AI to read documents and extract figures whilst running calculations through deterministic code, ensuring consistent mathematical accuracy. Juniper Square, which serves over 2,300 private markets GPs, initially developed the tool internally for its fund administration team overseeing more than $300 billion in assets. The Admin Oversight Agent works with any fund administrator and is available for purchase through Juniper Square's GPX platform, requiring no integration or data onboarding.
Nopalera, a brand founded by Sandra Velasquez, has raised $4 million in Series A funding led by Morgan Stanley's Next Level Fund and co-led by existing investor L'Attitude Ventures. Sixty8 Capital, Siddhi Capital, Portfolia and several other investors also participated. The company, which employs 17 people, doubled its revenue between 2024 and 2025. The funding will support retail expansion, including an upcoming collaboration with Costco, and product portfolio growth. Velasquez noted the investment will enable the company to strengthen its team and pursue retail opportunities that previously required significant capital and operational infrastructure. L'Attitude Ventures, which manages over $100 million in assets and focuses on Latinx entrepreneurs, previously led Nopalera's $2.7 million seed round in 2022.
Juniper Square has launched Headless GPX, making its fund operating system accessible to AI agents including Claude, Microsoft Copilot and ChatGPT. The platform serves over 2,300 private markets general partners, managing $1 trillion in LP capital across 45,000 investment entities and 750,000 LPs. Headless GPX enables AI agents to access fundraising, investor relations, fund accounting and compliance workflows whilst operating within Juniper Square's existing permissions and audit systems. IR teams can generate investor reports and personalised communications, whilst CFO teams can accelerate period-close processes and compliance checks. The system is built on private markets-specific data models rather than generic databases. Write capabilities and agent-driven actions are planned for the near-term roadmap. The service is currently in limited beta with select customers.