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Senior Engineering Manager, Data

4 weeks ago
United States
Full-time
Lead
Engineering Manager
Software Development
AWS dbt Kafka Python Snowflake TypeScript
Apply Now
Built

Built

Built is a construction finance technology leader, accelerating money movement and enhancing customer loyalty through real-time collaboration.

Construction & Engineering
251-1K
Founded 2014
$313M raised
View All Jobs 2

Description

  • Coach, develop, and grow a high-performing data engineering team.
  • Hire and retain top talent while fostering an inclusive team culture.
  • Establish delivery and operational rituals such as planning, retrospectives, and incident reviews.
  • Define and evolve the architecture for ingestion, transformation, orchestration, governance, and data products.
  • Drive the roadmap for foundational platform investments and product delivery needs.
  • Champion best practices for dbt, 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 Product, Analytics, Security, Engineering, and platform teams on data strategy and execution.
  • Stay hands-on through architecture reviews, pairing, design docs, and occasional implementation work.

Requirements

  • 5+ years of experience in engineering management 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 with technical and non-technical stakeholders.
  • Player-coach mindset with prior experience as an individual contributor.
  • Hands-on familiarity with Snowflake, DBT, or Sigma, with deep experience in at least one.
  • Experience building modern data platforms, including ELT, modeling layers, governance, and self-serve analytics.
  • Ability to travel approximately 5–6 times per year, including company-wide Connect Weeks and leadership travel to Nashville.
  • Preferred: experience with streaming data patterns and event-driven architectures using Kafka.
  • Preferred: experience operating production systems in AWS and working closely with platform and SRE teams.
  • Preferred: exposure to AI/ML or data science workflows.
  • Preferred: comfort working in TypeScript and Python ecosystems.
  • Preferred: familiarity with data quality testing, lineage, observability, and access control patterns.

Benefits

  • $225,000–$265,000 base salary per year.
  • Equity in the form of stock options.
  • Market-current medical, dental, and vision coverage.
  • Unlimited PTO / uncapped vacation [US only].
  • 401(k) with match and expedited vesting [US only].
  • Learning Grant program for professional development.
  • Travel support for company gatherings and leadership weeks.
  • Inclusive workplace with reasonable accommodations available.

Interested in this position?

Apply directly on the company website

Apply Now

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