Senior Engineering Manager, Data
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.
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
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
Benefits
- Equity in the form of stock options
- Medical insurance
- Dental insurance
- Vision insurance
- Unlimited PTO
- Learning Grant program
- 401k with match
- Expedited vesting