Senior Engineering Manager, Data Platform

Built is an AI-powered platform transforming how real estate is financed, developed, and managed. Built is seeking a Senior Engineering Manager, Data Platform to lead its data engineering organization, define platform strategy, develop foundational data capabilities, and deliver secure, reliable, scalable systems that support analytics, automation, and product growth.

Responsibilities:

• 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
• 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
• 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
• 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
• 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

Requirements:

• 5+ years of experience in an engineering management role leading teams in a fast-paced, high-growth environment
• Direct experience leading a data engineering or data platform team specifically, not just general engineering management
• 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
• Travel Requirement: This role should expect to travel approximately five to six times per year, including two company-wide Connect Weeks and additional PD&E leadership travel weeks to Nashville, TN or another designated location. Exact cadence varies based on business needs and role responsibilities
• Employees who are not based in the Nashville area are required to travel to our Nashville office at least twice per year for company gatherings, such as Connect Week. Additional travel to Nashville may be required based on your role and business needs
• 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
• Exposure to AI/ML or data science workflows: you'll oversee a staff engineer focused on AI/ML, but hands-on AI/ML experience is a plus, not a requirement
• Comfort working in TypeScript and Python ecosystems for data-adjacent services and tooling
• Familiarity with data quality testing, lineage, observability, and access control patterns