Senior Data Engineer / Data Platform Lead

Role Scope and Impact:

• You will be the foundational hire and senior owner of the unified data platform, responsible for building the trusted data foundation for everything the engineering department ships.
• The platform powers executive reporting, internal operations, customer-facing AI products like Ask Dr. Berg, and future commercial experimentation.
• Your work directly impacts critical business decisions; if data pipelines fail, it leads to incorrect executive briefings and potentially faulty AI outputs.

Key Responsibilities:

• Establish the target architecture, including ingestion patterns, orchestration standards, environment separation, data-quality gates, and deployment workflow.
• Own ingestion from over 15 sources including Amazon SP-API, Shopify, NetSuite, Klaviyo, YouTube, and various advertising platforms.
• Ensure reliability through health checks, schema validation, freshness SLAs, and data-quality gates, and manage cost and performance at scale.

Qualifications and Requirements:

• 8–12+ years in data engineering with at least 4 years primarily in Azure (Data Factory, Synapse, Fabric, etc.).
• Demonstrated ownership of a production data platform, strong SQL skills, production-level C#/Python, and experience with messy commerce/ERP APIs.
• Expertise in IaC/CI/CD discipline (Bicep, Terraform) and proven on-call experience managing production incidents and writing runbooks.

Work Environment and Logistics:

• This is a fully remote position within the continental United States, requiring a quiet workspace and availability during EST business hours.
• The role is a full-time salaried Employee (W-2) position with a base pay range of $185,000–$225,000 plus a performance bonus.