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Built

Connect and Simplify Doing Business in Real Estate

Senior Data Engineering Manager

Engineering ManagerEngineering ManagerOtherRemoteSeniorTeam 201-500H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

137 days ago

Salary

$225K - $260K / year

Seniority

Senior

Bachelor Degree5 yrs expEnglishAWSApache KafkaPythonTypeScript

Job Description

Senior Data Engineering Manager

Built

• 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

Job 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
  • Experience with streaming data patterns and event-driven architectures using Kafka (preferred)
  • Experience operating production systems in AWS and partnering closely with platform and SRE teams (preferred)
  • Comfort working in TypeScript and Python ecosystems for data-adjacent services and tooling (preferred)

Benefits

  • Competitive benefits including: uncapped vacation, health, dental & vision insurance
  • 401k with match and expedited vesting
  • Robust compensation package, including equity in the form of stock options
  • Flexible working hours, paid family leave, ERGs & Mentorship opportunities
  • Learning grant program to support ongoing professional development

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