Sr. Data Engineering Manager

Built is an AI-powered platform transforming the way real estate is financed, developed, and managed. They are seeking a Senior Engineering Manager to lead their Data Engineering team, responsible for building and operating foundational data capabilities across the organization. The role involves guiding engineers, defining data platform strategies, and ensuring high-quality systems to drive business outcomes.

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

Requirements:

• 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
• Travel Requirement: Teammates must be able to travel at minimum twice per year to Nashville, TN or another designated location for company-wide events (e.g., 'Connect Week'). Additional travel may be required based on business needs and role responsibilities
• 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