Senior Engineering Manager, Data
Built is a real estate and construction finance technology company. It provides an AI-powered platform for lenders, owners, developers, builders, and contractors to manage financing, draws, budgets, payments, inspections, and portfolio risk.
About Built Technologies, Inc.
Built Technologies provides an AI-powered software platform for real estate and construction finance. Its products support construction loan administration, origination, underwriting, draw and budget management, inspections, risk mitigation, portfolio reporting, construction financials, invoice management, lien waivers, compliance tracking, and digital payments. The company serves banks, private credit lenders, owners, developers, general contractors, builders, borrowers, inspectors, and suppliers, with integrations to systems such as Sage, Yardi, and Procore.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
Lead and grow Built's data engineering organization, set technical direction, build foundational data capabilities, improve reliability and governance, and partner with cross-functional leaders while remaining hands-on.
Requirements
- 5+ years of experience in an engineering management role
- Direct experience leading a data engineering or data platform team
- Ability to scale teams and systems through hiring, process, architecture, and delivery
- Excellent communication and collaboration skills
- Player-coach mindset with prior individual contributor experience
- Hands-on familiarity with Snowflake, DBT, or Sigma
- Experience building modern data platforms, including ELT, modeling layers, governance, and self-serve analytics
- Experience with Kafka is preferred
- Experience operating production systems in AWS is preferred
- Exposure to AI/ML or data science workflows is preferred
- Comfort working in TypeScript and Python ecosystems
- Familiarity with data quality testing, lineage, observability, and access control patterns
Responsibilities
- Coach engineers through expectations, feedback, and career development
- Hire and retain engineering talent
- Establish delivery and operational rituals
- Define and evolve the data platform architecture
- Drive the data platform roadmap
- Champion dbt patterns, data contracts, testing, and documentation
- Ensure pipelines and models are accurate, observable, secure, and scalable
- Improve reliability through alerting, SLAs, SLOs, runbooks, and root-cause analysis
- Partner with platform engineering on deployment and cost optimization
- Collaborate with Product, Analytics, Security, and Engineering leaders
- Communicate tradeoffs, risks, and timelines
- Lead architecture reviews, pairing, design documents, and occasional implementation
Benefits
- Equity in the form of stock options
- Medical insurance
- Dental insurance
- Vision insurance
- Unlimited PTO
- Learning Grant program
- 401k with match
- Expedited vesting
