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Senior Engineering Manager, Data Platform

Nashville, TN (Onsite) or Remote

Open 3 months, first seen by us 97 days ago
Pay
USD 225,000–265,000/year — pay source
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. __________________________
Read the full posting
Work setting
Remote — work setting source
Listed location: Nashville, TN (Onsite) or Remote
Read the full posting
Employment
Not stated

Before you apply

Employer’s visa record
1 H-1B petition approved in fiscal 2024 and 2025For the employer as a whole. This posting doesn’t say whether the role is sponsored. US Citizenship and Immigration Services.

What you’ll work on

Full posting
  • Coach, hire and grow data engineers and set delivery rituals

  • Define the data platform architecture and roadmap

  • Improve pipeline reliability with alerting, SLAs/SLOs and runbooks

  • Partner with Product, Analytics and Security on data needs

  • Make build-versus-buy calls on Snowflake, dbt and Sigma tooling

From the employer’s posting
Coach engineers through clear expectations, feedback, and career development
Define and evolve the architecture for ingestion, transformation, orchestration, governance, and data products
Improve reliability through alerting, SLAs and SLOs, runbooks, and root-cause analysis
Collaborate with Product, Analytics, Security, and Engineering leaders to ensure data enables customer and business outcomes
Bring strong judgment to tooling and build-versus-buy decisions across Snowflake, DBT, and Sigma

Benefits in the posting

Full benefits wording
  • Competitive benefits including: uncapped vacation [US ONLY], medical, dental & vision insurance
  • Robust compensation package, including equity in the form of stock options
  • Learning Grant program to support ongoing professional development
  • 401k with match and expedited vesting [US ONLY]

From the employer’s posting.

Apply at Built Technologies

Posting record

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Open 3 monthsWe first saw this posting 97 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
Aug 8, 202697 days ago
Recorded sightings
35
Last seen by us
Nov 13, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

Higher than most similar jobs

$225K–$265K against $154K–$226K, the middle half of what similar US postings state.

From 3,103 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 97

Up longer than most. Similar jobs usually come down between day 8 and day 57.

From 9,475 similar postings that came down. Coming down is not always a hire.

Built Technologies is hiring

1 open job

  • No new data jobs since August
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • TypeScript
  • AWS
  • dbt
  • Kafka
  • Sigma
  • Snowflake
Where the posting names them
- 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
- 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
- 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
- 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 Qualifications Required
- 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
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

Your next step

Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.

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  • No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
  • Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.

Already applied? Track this application

Demand for Data Leadership roles

New Data Leadership postings at the employers we follow are about the same over the last 6 weeks compared with the 6 before.

Weekly new Data Leadership postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 754, the most 1,166, and the latest week had 892.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Leadership, by the work the posting describes.

Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.

Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.

Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.

US government figures for computer and information systems managers

Median yearly pay, May 2025
$175,140
Expected change, 2025 to 2035
15.8% more jobsagainst 3.5% for all jobs

The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.

Job description

View original posting ↗

Built's Mission: Connect and simplify doing business in real estate.

Built is the AI-powered platform transforming the way real estate is financed, developed, and managed. Purpose-built for real estate and construction, Built began by fixing construction draw management for lenders and has grown into a comprehensive operating system addressing some of the industry’s most complex challenges. Today, Built is a partner to more than 350 lenders, over 80,000 borrowers and owners, and thousands of contractors, powering 86,000 active projects valued at more than $300 billion. Learn more at getbuilt.com.
__________________________

Built is looking for a Senior Engineering Manager, Data to lead our growing data organization. In this role, you will guide a high-impact group of engineers building the industry's first holistic real estate data engine that powers analytics, decisioning, workflow automation, and new product capabilities across our platform. 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. Your team will enable product teams and business stakeholders to confidently use data to drive outcomes, while maintaining high standards for security, quality, and performance. This is a hands-on, player-coach leader who can set technical direction, grow talent, and deliver durable systems at scale, while partnering closely with Product, Analytics, and Engineering peers.

This is an opportunity to lead a team building core infrastructure that shapes the company's future. You will influence how Built captures, normalizes, and activates the most critical data in our industry, with autonomy, executive visibility, and room to innovate. If you enjoy building platforms, raising engineering maturity, and scaling both teams and systems, this role sits at that intersection.

Challenge

Real estate finance data is complex. It is high-volume, multi-source, time-sensitive, and often messy. The challenge is to build a data engine that is:

  • Trusted: accurate, governed, explainable
  • Fast: optimized performance and cost, low latency where it matters
  • Composable: clean models that scale with new products
  • Self-serve: enables Product, Analytics, and GTM teams
  • Reliable: observable, resilient, and operationally excellent
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
Partner cross-functionally
  • 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
Be a hands-on player-coach
  • 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
Qualifications
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.

__________________________

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.

Perks:

  • The rare opportunity to radically disrupt a $1.5T industry
  • Competitive benefits including: uncapped vacation [US ONLY], medical, dental & vision insurance
  • Robust compensation package, including equity in the form of stock options  
  • Learning Grant program to support ongoing professional development
  • 401k with match and expedited vesting [US ONLY]

Built brings together passionate people who are driven in a variety of disciplines, each bringing their unique perspective to everything they do. We’re committed to building a safe, inclusive workplace where every employee can succeed, and we recruit, hire, and promote fairly - without bias based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, veteran status, disability, genetic information, or any other characteristic protected by law.

Built is committed to providing reasonable accommodations for qualified individuals with disabilities. If you need assistance or an accommodation during the application process, please share with your Talent Partner or email careers@getbuilt.com.

Greenhouse Data Disclosure: When you apply to a job on this site, the personal data contained in your application will be collected by Built. Your personal data will be processed for the purposes of managing Built’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results thereto, communicating with you regarding your application (including via text message),and as is otherwise needed in the recruitment and hiring processes. Your personal data will be shared with Greenhouse Software, Inc., a cloud services provider located in the United States of America and engaged by Built to help manage its recruitment and hiring process on Built’s behalf. Your personal data will also be shared with Grayscale Labs, Inc., a cloud services provider located in the United States of America and engaged by Built Technologies to facilitate candidate communications, including text messaging.Your personal data will be retained by Built as long as Built determines it is necessary to evaluate your application for current or future employment. You have the right to request access to your personal data, to request that your personal data be rectified or erased, and to request that processing of your personal data be restricted. You also have the right to data portability.

Built Privacy Policy

By providing your phone number, you consent to receive text messages from Built related to your application. Message and data rates may apply. You may opt out at any time by replying STOP.

If you would like to contact Built to ask questions surrounding processing of your personal data or to make a request, you can send an email to privacy@getbuilt.com. California residents: Please note that Built does not sell your personal data.  For details on how your data is shared with our service providers, please see our Privacy Policy.

Source details

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Pay
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. __________________________
Location & working pattern

Nashville, TN (Onsite) or Remote

Working pattern and location restrictions need checking in the full posting.

Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

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