Data Lead- Full-Stack Data Engineer

About Venn

• Venn is a fast-growing technology, building the intelligent operating layer for modern residential living.
• Our platform helps leading U.S. real estate operators connect residents, property teams, payments, services, maintenance, and community into one seamless product experience.
• We’re now taking Venn to the next level by turning each partner’s data, knowledge, and way of operating into a Company Brain, and building tailored applications and AI agents on top of it.
• We work at the intersection of PropTech, AI, data, and real-world operational systems, with one clear promise- help operators serve millions of residents with the care they would give to a few close friends.

About the role

We are looking for a hands-on Data Lead to build and own Venn’s data domain end-to-end.

This is a key role for someone who combines strong engineering capabilities, deep data passion, product thinking, and business understanding. We are looking for a builder who can independently create the data infrastructure, deliver reliable dashboards and insights, support product and business decision-making, and turn data into a strategic asset for the company.

This is not just a reporting or BI role. You will be responsible for building the data foundation that will support Venn’s next stage of growth- across infrastructure, product analytics, business insights, executive reporting, customer-facing analytics, and future AI-driven use cases.

What you’ll do

• Own Venn’s data domain end-to-end- from infrastructure and pipelines to dashboards, insights, and business impact.
• Build and maintain scalable data pipelines across product, finance, GTM, customer, and operational data sources.
• Design reliable data models and create a clear source of truth for key company metrics.
• Build business and executive dashboards that help leadership understand the state of the business.
• Analyze product usage, engagement, adoption, retention, feature performance, and customer value.
• Support Product, R&D, Sales, Marketing, Customer Success, Finance, and leadership with meaningful data insights.
• Translate business and product questions into clear data analysis and actionable recommendations.
• Work closely with R&D, while being technically independent and able to build and deliver solutions without relying on engineering support for every step.
• Define data standards, documentation, quality checks, metric definitions, and best practices.
• Use modern AI tools to accelerate data development, analysis, documentation, automation, and insight generation.
• Identify opportunities where Venn’s data can support smarter product experiences, automated insights, customer-facing analytics, and AI-supported decision-making.
• The must
• 6+ years of experience in data engineering, analytics engineering, BI, product analytics, or similar data roles.
• Strong hands-on development background- currently coding or previously worked as a developer / software engineer.
• Strong SQL skills and experience building data models, pipelines, and reporting layers.
• Experience working with modern data warehouses such as Snowflake, BigQuery, Redshift, or similar.
• Ability to build data solutions independently, end-to-end, from technical design to implementation and delivery.
• Strong product and business understanding, with the ability to connect data to real company needs.
• Experience building dashboards, reporting layers, and business/product insights.
• Hands-on experience using AI tools as part of day-to-day technical work, analysis, development, or data workflows.
• Ability to work directly with stakeholders across Product, R&D, Finance, Sales, Marketing, Customer Success, and leadership.
• High ownership, independence, curiosity, and strong problem-solving skills.
• The nice
• Experience in B2B SaaS, marketplace, PropTech, real estate technology, or product-led companies.
• Experience with product analytics, event-based data, funnels, cohorts, retention, and engagement metrics.
• Experience with BI tools such as Looker, Tableau, Power BI, Mode, or similar.
• Experience building semantic layers, metric layers, self-service analytics, or customer-facing analytics.
• Experience with LLM-based tools, AI agents, automated insights, recommendation systems, or AI-powered analytics workflows.
• Experience working in a fast-paced startup environment with ambiguity and evolving priorities.

Who you are

• You are a builder who likes taking unclear data problems and turning them into working solutions.
• You are technical enough to build things yourself, but business-oriented enough to understand why they matter.
• You can go deep into the data, but also zoom out and see the bigger picture.
• You enjoy working with engineers, product managers, finance, GTM teams, and executives.
• You want to build the data function, not just be part of one.