COMPANY OVERVIEW
About Built
Built is the AI-powered platform transforming the way real estate is financed, developed, and managed. Purpose-built for real estate and construction, Built began by fixing construction draw management for lenders and has grown into a comprehensive operating system addressing some of the industry’s most complex challenges. Through its connected product suite, Built enables stakeholders to finance, develop, build, own, and operate smarter—all in one place. The platform brings together loans, deals, portfolios, payments, inspections, and collaboration to deliver faster execution, greater transparency, efficiency, and trust across the industry.
Today, Built is a partner to more than 350 lenders, over 80,000 borrowers and owners, and thousands of contractors, powering 86,000 active projects valued at more than $300 billion. Learn more at getbuilt.com:
ROLE SUMMARY & SCOPE
Built Technologies is looking for a Senior Engineering Manager to lead our growing Data Engineering team. In this role, you will guide a high-impact group of engineers building the industry’s first holistic real estate data engine that powers analytics, decisioning, workflow automation, and new product capabilities across our platform. You will lead the Data Engineering organization responsible for building and operating foundational data capabilities across Built, including ingestion, modeling, governance, reliability, and self-serve analytics. Your team will enable product teams and business stakeholders to confidently use data to drive outcomes, while maintaining high standards for security, quality, and performance.This is a hands-on, player-coach leader who can set technical direction, grow talent, and deliver durable systems at scale, while partnering closely with Product, Analytics, and Engineering peers.
This is an opportunity to lead a team building core infrastructure that shapes the company’s future. You will influence how Built captures, normalizes, and activates the most critical data in our industry, with autonomy, executive visibility, and room to innovate. If you enjoy building platforms, raising engineering maturity, and scaling both teams and systems, this role sits at that intersection.
Challenge
Real estate finance data is complex. It is high volume, multi-source, time sensitive, and often messy. The challenge is to build a data engine that is:
- Trusted: accurate, governed, explainable
- Fast: optimized performance and cost, low latency where it matters
- Composable: clean models that scale with new products
- Self-serve: enables Product, Analytics, and GTM teams
- Reliable: observable, resilient, and operationally excellent
Responsibilities
Lead and grow the team
- Coach engineers through clear expectations, feedback, and career development
- Hire and retain top talent and build a high-performance, inclusive culture
- Establish strong delivery and operational rituals, including planning, retrospectives, and incident reviews
Own the data platform strategy
- Define and evolve the architecture for ingestion, transformation, orchestration, governance, and data products
- Drive a roadmap that balances foundational platform investments with product delivery needs
- Champion best practices, including dbt patterns, data contracts, testing, and documentation
Deliver high-quality systems
- Ensure pipelines and models are accurate, observable, secure, and scalable
- Improve reliability through alerting, SLAs and SLOs, runbooks, and root-cause analysis
- Partner with platform engineering on deployment patterns, cost optimization, and environment strategy
Partner cross-functionally
- Collaborate with Product, Analytics, Security, and Engineering leaders to ensure data enables customer and business outcomes
- Communicate clearly with stakeholders on tradeoffs, risks, and timelines
- Influence the broader organization on data quality, trust, and accountability
Be a hands-on player-coach
- Stay close to the work through architecture reviews, pairing, design docs, and occasional implementation
- Bring strong judgment to tooling and build-versus-buy decisions across Snowflake, DBT, and Sigma
Qualifications
Required
- 5+ years of experience in an engineering management role leading teams in a fast-paced, high-growth environment
- Proven ability to scale teams and systems through hiring, process, architecture, and delivery
- Excellent communication and collaboration skills across technical and non-technical stakeholders
- Passion for fostering a culture of innovation, learning, and continuous improvement
- Player-coach mindset with prior experience as an individual contributor
- Hands-on familiarity with Snowflake, DBT, or Sigma (deep experience in at least one)
- Experience building modern data platforms, including ELT, modeling layers, governance, and self-serve analytics
Preferred
- Experience with streaming data patterns and event-driven architectures using Kafka
- Experience operating production systems in AWS and partnering closely with platform and SRE teams
- Comfort working in TypeScript and Python ecosystems for data-adjacent services and tooling
- Familiarity with data quality testing, lineage, observability, and access control patterns
Built’s salary range for this position is $225000-$260,000 USD per year. The pay range is designed to accommodate upward mobility in the role, therefore it encompasses the full span of proficiency levels for this role and we believe that the midpoint of the range is competitive in the market. Salary is just one component of Built's total compensation package for employees. Your total rewards package at Built will include equity, top-notch medical, dental and vision coverage, an unlimited PTO policy, and other benefits.
Perks:
- The rare opportunity to radically disrupt a $1.5T industry
- Competitive benefits including: uncapped vacation, health, dental & vision insurance
- 401k with match and expedited vesting
- Robust compensation package, including equity in the form of stock options
- Flexible working hours, paid family leave, ERGs & Mentorship opportunities
- Learning grant program to support ongoing professional development
Built brings together passionate people who are driven in a variety of disciplines, each bringing their unique perspective to everything they do.
We’re committed to building a safe, inclusive workplace where every employee can succeed, and we recruit, hire, and promote fairly - without bias based on race, color, religion, sex, sexual orientation, gender identity, marital status, veteran status, or any other characteristic protected by law.
Greenhouse Disclosure
When you apply to a job on this site, the personal data contained in your application will be collected by Built Technologies (“Controller”). Your personal data will be processed for the purposes of managing Controller’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results thereto, and as is otherwise needed in the recruitment and hiring processes.
Your personal data will be shared with Greenhouse Software, Inc., a cloud services provider located in the United States of America and engaged by Controller to help manage its recruitment and hiring process on Controller’s behalf.
Your personal data will be retained by Controller as long as Controller determines it is necessary to evaluate your application for current or future employment. You have the right to request access to your personal data, to request that your personal data be rectified or erased, and to request that processing of your personal data be restricted. You also have to right to data portability.
If you would like to contact Controller to ask questions surrounding processing of your personal data or to make a request, you can send an email to [email protected].
For California residents: Please note that Controller does not sell your personal data or share it with third parties outside of Greenhouse Software, Inc.
