Senior Engineering Manager, Data
Built Technologies • Nashville, TN3d • Hybrid
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Senior Engineering Manager, Data
Built Technologies•Nashville, TN
•Hybrid
About The Position
Built is looking for a Senior Engineering Manager, Data to lead their growing data organization. This role 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 the platform. The manager will lead the data engineering team responsible for building and operating foundational data capabilities, including ingestion, modeling, governance, reliability, and self-serve analytics. The 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. The role involves influencing how Built captures, normalizes, and activates critical industry data, with autonomy, executive visibility, and room to innovate. It is ideal for someone who enjoys building platforms, raising engineering maturity, and scaling both teams and systems.
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
Nice To Haves
- 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
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
Benefits
- Equity in the form of stock options
- Market-current medical, dental and vision coverage
- Unlimited PTO policy
- Learning Grant program to support ongoing professional development
- 401k with match and expedited vesting [US ONLY]
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
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