Senior Data Engineer

M3; Lawrenceville (GA); On-site; USD 120,000 - 150,000; Full time

Job summary

A leading software solutions provider seeks a Lead Data Engineer in Lawrenceville, GA. The role involves designing and implementing a cloud-native data platform, ensuring high-quality data architecture and engineering practices. Responsibilities include data modeling, CI/CD process implementation, and mentoring team members. Candidates should have 8+ years in data engineering, experience with cloud platforms like Azure, and strong communication skills. Regular onsite attendance is required for 2 days a week, with flexible work scheduled as needed.

Qualifications

• 8+ years of experience in data engineering or data platform development.
• Experience designing and building cloud-based data platforms (Azure preferred).
• Strong written and verbal skills in English.

Responsibilities

• Design, implement, and evolve cloud-native data platform architecture.
• Lead scalable data modeling efforts across financial, customer, and product domains.
• Establish architecture standards for data products.

Skills

Data engineering

Cloud-based data platforms

CI/CD practices

Data governance

Data modeling

Education

Bachelor's degree in Computer Science or related field

Tools

Azure

Databricks

Job description

Overview

M3 (www.m3as.com) is a leading provider of hospitality-specific software solutions, delivering cloud-based tools for hotel accounting, financial reporting, labor management, payroll, and business intelligence. Built by hoteliers for hoteliers, M3 empowers hotel owners, operators, and management companies to streamline back-office operations, reduce costs, gain real-time insights, and drive portfolio performance across thousands of properties in North America and beyond.

M3 is building a modern, scalable, cloud-native data platform to support analytics, governance, operational data activation, and AI-driven product capabilities. The Lead Data Engineer plays a foundational role in designing and implementing this platform on Databricks, defining architecture standards, ensuring code quality, and mentoring engineers across the data team.

This is a hands-on role expected to contribute directly to implementation while elevating technical standards and guiding architectural direction. This individual is responsible for establishing architecture standards, scalable data models, pipeline engineering best practices, and CI/CD processes that enable reliable, governed, and AI-ready data across the organization. This is a hands-on senior engineering role with significant influence over long-term platform direction and technical standards.

The duties listed below are the essential functions of this position, and they may change as the needs of the company demand. All associates are expected to do what is necessary to get the work done and to cooperate fully with their supervisor’s requests for additional or altered duties.

Responsibilities

• Design, implement, and evolve M3’s cloud-native data platform architecture through direct, hands-on development.
• Define and enforce standards for medallion architecture (Bronze, Silver, Gold layers).
• Lead scalable data modeling efforts across financial, customer, and product domains using domain-oriented design principles and treating data assets as durable, well-defined data products.
• Architect and optimize ingestion and activation pipelines (API, CDC, batch, and event-based patterns), enabling reliable bi-directional data movement between the platform and operational systems.
• Implement CI/CD processes, deployment automation, and testing standards for data workflows.
• Establish monitoring, observability, and performance optimization practices.
• Collaborate cross-functionally with Engineering, Product, Analytics, and Business Systems teams to ensure the platform supports both analytical use cases and operational data activation back into core systems.
• Define data platform architecture standards, domain boundaries, and reusable design patterns that reinforce a data-as-a-product mindset across all new development.
• Establish and enforce code quality standards, conduct regular PR reviews, and implement engineering best practices across the data team.
• Mentor and guide data engineers through pairing, design reviews, and structured feedback to elevate engineering quality, consistency, and architectural thinking.
• Partner with external vendors when applicable and ensure knowledge transfer into internal teams.
• Balance architecture leadership with active delivery, ensuring platform scalability, cost efficiency, and long-term maintainability while maintaining team velocity.

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field (or equivalent practical experience).
• 8+ years of experience in data engineering or data platform development.
• 3+ years of experience designing and building cloud-based data platforms (Azure preferred; AWS or GCP acceptable; Databricks strongly preferred).
• Experience implementing CI/CD and DevOps practices for data engineering.
• Hands-on experience with data governance, metadata management, or catalog tools preferred.
• Demonstrated experience building scalable, production-grade, cloud-native data systems.
• Experience designing and managing data products with clear ownership, SLAs, and domain-oriented architecture principles is strongly preferred.
• Must have strong written and verbal skills in English and the ability to communicate effectively.
• Must be able to build and maintain positive business relationships with co-workers and other business contacts.
• This position requires regular attendance, punctuality, and the ability to work a full-time position during normal office hours as well as some time on weekends and evenings as project needs or scheduling requirements dictate.
• This position requires the ability to work in an office setting, sitting at a computer workstation, with the ability to work most of the day using the computer, telephone, and basic office equipment.

Location & Schedule

This role requires working onsite in our Lawrenceville, GA office two days per week. Are you able to reliably start work on time and adhere to this hybrid schedule?

Compensation & Eligibility

If you are only seeking a fully remote position, this opportunity may not be the right fit.

Are you legally authorized to work for any employer in the US without restriction? Will you now, or in the future, require immigration support for employment status? Please answer these questions accurately. At this time, we are unable to provide current or future sponsorship for employment authorization (including H-1B, OPT, STEM OPT extensions, or other visa classifications requiring employer sponsorship).

Are you willing to undergo a background check, in compliance with applicable laws? What are your compensation expectations for you to consider a new role?

Voluntary Self-Identification

For government reporting purposes, we ask candidates to respond to the below self-identification survey. Completion of the form is entirely voluntary. It will not be considered in the hiring process or thereafter. Any information you provide will be recorded and kept confidential.

As set forth in M3’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law. If you believe you belong to any protected categories, please indicate accordingly.

Disability Self-Identification (Voluntary): This form is voluntary and confidential. It may include questions about disability status as part of compliance programs. See related guidance above for context.

PUBLIC BURDEN STATEMENT: According to the Paperwork Reduction Act of 1995 no persons are required to respond to a collection of information unless such collection displays a valid OMB control number. This survey should take about 5 minutes to complete.