Getbuilt Senior Engineering Manager, Data Platform at Getbuilt leading the data engineering team building a real estate data engine. Responsible for technical direction, team growth, and platform strategy.
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
Qualification
Hands-on familiarity with SnowflakeTravel RequirementFamiliarity with data quality testing__________________________
Required
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.
Preferred
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
Built’s salary range for this position is $225,000 - 265,000 USD per year. The pay range is designed to accommodate upward mobility in the role; therefore, it encompasses the full span of proficiency levels for this role and we believe that the midpoint of the range is competitive in the market. Salary is just one component of Built's total compensation package for employees; your total rewards package at Built will include equity, market-current medical, dental and vision coverage, an unlimited PTO policy, and other benefits.
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Travel Requirement: 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.
