Technical Lead, Data

🕒 June 22

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Juniper Square

WebsiteLinkedInAll Job Openings

201 - 500 employees

💸 Finance

🏠 Real Estate

☁️ SaaS

💰 $75M Series C on 2019-11

Finance • Real Estate • SaaS

Juniper Square is a company that provides a comprehensive platform and solutions tailored for private investment partnerships. Founded in 2014, the company focuses on enabling seamless connection and communication between General Partners (GPs) and Limited Partners (LPs) throughout the entire investment lifecycle. Juniper Square's technology is purpose-built to support commercial real estate, private equity, and venture capital firms of all sizes. The platform offers services such as fund administration, fundraising, investor management, compliance, and investor reporting, all aimed at enhancing transparency, data governance, and the overall investor experience.

📋 Description

• Design and implement sophisticated data models in SQL. • Work closely with the other Software Engineers to ensure sound, scalable implementation. • Act as a technical expert on our team regarding all things data, especially as the data team grows and evolves. • Introduce new technologies to evolve and enhance our data pipeline capabilities. • Document data models, architectural decisions and data dictionaries to enable collaboration, maintainability and usability of our analytics platforms and code. • Assist with governance, guidance, code reviews, and access controls so that we maintain consistency, quality, and business confidentiality as we scale analytics access across the company and to customers. • Externally: learn our application data schema, and develop a fluency in how to transform it to enhance customer’s decision-making with data. • Internally: guide product and development teams, advising on instrumentation and laying development foundations for product usage reporting. • Fullfill projects with minimal guidance but with an appropriate sense of when and how to collaborate with others. • Build scalable, highly performant infrastructure for delivering clear business insights from a variety of raw data sources.

🎯 Requirements

• Bachelor's degree in Computer Science, or equivalent work experience • 7-11 years of experience building ETL (Extraction Transform Load) or ELT (Extraction Load Transform) pipelines from scratch • Strong command of relational databases (Postgresql preferred), data modeling and database design • Strong command of Python and experience building production web applications using Python • Experience with cloud based services (AWS RDS preferred) • Experience developing on (or administering) BI / data visualization platforms (ex. Looker, Tableau, PowerBI, Mode, Data Studio, Domo, QlikView etc.). • Basic understanding of data warehouses such as Amazon Redshift, Google BigQuery, Snowflake etc. • Demonstrated history of translating data into clear and actionable narratives and communicating opportunities and challenges relevant to stakeholders. • You must be flexible and adaptable – you will be operating in a fast-paced startup environment. • Familiarity with data catalog or data governance platforms – open source (e.g. OpenMetadata) or commercial. • Experience building backend services using Python/FastAPI and designing and implementing scalable RESTful and GraphQL APIs • Mandatory Experience authoring modern web applications using ReactJS and TypeScript and designing reusable UI components and scalable frontend architecture. • Familiarity with patterns such as tool-calling agents, planning/execution loops, and RAG • Demonstrated ability to use modern AI tools to improv velocity and code quality

🏖️ Benefits

• 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 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.