# Senior Engineering Manager, Data

**Company:** [Built](https://hotfix.jobs/companies/built)
**Location:** Nashville, TN
**Role:** Engineering Management
**Salary:** $225k – $265k/yr
**Experience:** 5+ years
**Skills:** Snowflake, dbt, Sigma, Data Engineering, Data Platforms, ELT, Data Modeling, Data Governance, Kafka, AWS, TypeScript, Python, data quality testing, data lineage, Observability
**Posted:** 2026-08-07

> Leads and grows a data engineering organization responsible for scalable ingestion, modeling, governance, reliability, and self-serve analytics. The role requires engineering management experience, hands-on data platform expertise, and the ability to guide architecture, delivery, and cross-functional outcomes.

## Job Description

## 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 delivery and operational rituals, including planning, retrospectives, and incident reviews.

### Own the data platform strategy
- Define and evolve architecture for ingestion, transformation, orchestration, governance, and data products.
- Drive a roadmap balancing 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.

### Partner cross-functionally
- Collaborate with Product, Analytics, Security, and Engineering leaders to enable customer and business outcomes.
- Communicate tradeoffs, risks, and timelines clearly with stakeholders.
- Influence the broader organization on data quality, trust, and accountability.

### Be a hands-on player-coach
- Stay close to the work through architecture reviews, pairing, design documents, and occasional implementation.
- Provide judgment on tooling and build-versus-buy decisions across Snowflake, dbt, and Sigma.

## Requirements
- 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.
- Player-coach mindset with prior individual contributor experience.
- 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.
- Travel approximately five to six times per year, including company-wide Connect Weeks and additional leadership travel to Nashville, TN or another designated location.

## Preferred Qualifications
- Experience with streaming data patterns and event-driven architectures using Kafka.
- Experience operating production systems in AWS and partnering with platform and SRE teams.
- Exposure to AI/ML or data science workflows.
- Comfort working in TypeScript and Python ecosystems for data-adjacent services and tooling.
- Familiarity with data quality testing, lineage, observability, and access control patterns.

## Compensation and Benefits
- Annual salary range: **$225,000–$265,000 USD**.
- Equity in the form of stock options.
- Medical, dental, and vision coverage.
- Unlimited PTO.
- Learning Grant program for professional development.
- 401(k) with match and expedited vesting for US employees.

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