Data Engineering Manager (Data Platform & Systems Integration)

Data Engineering Manager (Data Platform & Systems Integration)

Maxwood Furniture is a rapidly growing furniture company with an expanding portfolio of brands including Max & Lily, Plank + Beam, and Maxtrix. Since launching over two decades ago, we've built multiple sales channels across DTC websites and third-party marketplaces. We're passionate about designing inspiring, on-trend furniture that brings customers' home décor dreams to life.

We are seeking a new member to join our Technology team. Are you ready to be part of something amazing?

Role Overview

The Data Engineering Manager is a senior technical leader who sets architectural direction and holds accountability for two closely related engineering teams: data engineering and systems integration. This person doesn't build alone — they lead engineers who do the hands-on work, ensuring the right architecture is in place and the team has what it needs to execute. This is a high-impact position within a fast-growing organization where the right person can make a measurable difference in how Maxwood's technology stack scales across brands.

Responsibilities

• Set architectural direction for Maxwood's cloud data platform, including data warehouse design, medallion layer structure, and AI-readiness, and guide the data engineering team in executing against it

• Establish standards for ELT/ETL pipeline design across data sources including Shopify, marketplaces, ERP, and third-party SaaS platforms, and hold the team accountable to them

• Drive data modeling decisions that serve BI, analytics, and AI initiatives, in partnership with BI Analysts and AI Specialists

• Own the technical relationship with the data platform (Microsoft Fabric), including resource management, capacity planning, and optimization strategy

• Set and enforce data quality, governance, and documentation standards across the team

• Define the integration architecture connecting Shopify Plus to Maxwood's SaaS ecosystem (platforms like Gorgias, Salsify, ParcelLab, Klaviyo, and Constructor) and direct integrations engineers in building and maintaining those connections

• Establish integration patterns, API standards, and error handling frameworks for the team to follow

• Review and approve integration designs before build, ensuring scalability, reliability, and maintainability

• Directly manage a team of data and integrations engineers, including a DBA, a Data Engineer, and Software Integrations Engineers

• Provide technical mentorship, career development, and performance management across two engineering disciplines

• Partner with Product Owners on capacity and prioritization without owning the project management function

• Support special projects as needed

What Success Looks Like

• A data engineering team operating with clear architectural standards, reliable pipelines, and a well-governed data platform

• An integrations engineering team with consistent patterns, documented designs, and a stable, low-maintenance SaaS ecosystem

• Engineers across both disciplines who are growing, engaged, and producing their best work

• Architecture decisions that are well-reasoned, documented, and understood across the broader technology organization

Requirements

• 5+ years of experience in data engineering, systems architecture, or a closely related technical discipline

• Demonstrated ability to set architectural direction and lead engineers in executing against it, not just doing the work yourself

• Hands-on experience with cloud-based data warehouse architecture (Microsoft Fabric, Snowflake, Databricks, Synapse, BigQuery, or similar)

• Deep proficiency with SQL and data modeling concepts (star schema, medallion architecture, dimensional modeling)

• Experience establishing standards and governance for ELT/ETL pipelines at scale

• Experience directing third-party system integration work via REST APIs and iPaaS platforms

• 2+ years managing engineers across different technical disciplines, with a track record of mentorship and team development

• Preferred: Microsoft Fabric or Azure ecosystem experience (Lakehouses, Dataflows Gen2, Azure Data Factory, Power BI)

• Preferred: iPaaS platform experience (Celigo, Boomi, MuleSoft, Workato, or similar)

• Preferred: ecommerce or multi-brand retail technology background

• Preferred: dbt or similar data transformation framework experience

Core Competencies

• Detail-oriented and reliable

• Hands-on and hardworking

• Clear communicator

• Works well independently and as part of a team

Benefits

• 401(k) matching

• Dental Insurance

• Employee Discount

• Flexible Schedule

• Flexible Spending Account

• Health Insurance

• Life Insurance

• Vision Insurance

• Paid Time Off

Work Location: Daniel Island, SC (Charleston area). Hybrid work option available after 90 days of successful in-office performance.