Senior Data Platform Engineering Manager

Built Technologies

United States

On-site

USD 225,000 - 265,000

Full time

14 days+

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Benefits offered by this job

Equity
Medical, dental and vision coverage
Unlimited PTO

Job summary

Built is seeking a Senior Engineering Manager, Data to guide a high-impact data organization. You will lead data engineers building the industry's holistic data engine powering analytics, decisioning, workflow automation, and new product capabilities across Built.

You will lead the data engineering team responsible for building and operating foundational data capabilities across Built, including ingestion, modeling, governance, reliability, and self-serve analytics, enabling product teams and

Qualifications

  • 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.
  • 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.
  • Experience building modern data platforms, including ELT, modeling layers, governance, and self-serve analytics.
  • Travel: five to six times per year, including two Connect Weeks and leadership travel.

Responsibilities

  • Lead and grow the team.
  • Own the data platform strategy.
  • Deliver high-quality systems.
  • Partner cross-functionally.
  • Be a hands-on player-coach.

Skills

Leadership
Communication
Hiring & team growth
Player-coach
Data collaboration

Tools

Snowflake
DBT
Sigma
AWS

Job description

Built is seeking a Senior Engineering Manager, Data to guide a high-impact data organization. You will lead data engineers building the industry's holistic data engine powering analytics, decisioning, workflow automation, and new product capabilities across Built.

You will lead the data engineering team responsible for building and operating foundational data capabilities across Built, including ingestion, modeling, governance, reliability, and self-serve analytics, enabling product teams and

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