Data Engineering Manager (Data Platform & Systems Integration)Role OverviewThe 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.
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