Note: The job is a remote job and is open to candidates in USA. Built is an AI-powered platform transforming the way real estate is financed, developed, and managed. They are seeking a Senior Engineering Manager, Data to lead their growing data organization, guiding a team to build a holistic real estate data engine that powers analytics and decision-making across their platform.
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
Skills
- 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
- 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
Benefits
- Competitive benefits including: uncapped vacation [US ONLY], medical, dental & vision insurance
- Robust compensation package, including equity in the form of stock options
- Learning Grant program to support ongoing professional development
- 401k with match and expedited vesting [US ONLY]
Company Overview
Company H1B Sponsorship