Lead Data Engineer - only W2

Position : Lead Data Engineer Location: Atlanta, GA (Hybrid) Duration: 12+ months Position Overview: We are seeking an experienced Data Lead to take full ownership of the end-to-end delivery of the Symphony data platform for The Client. This is a hands‑on technical leadership role not a project management or administrative position. The Data Lead will be the single point of accountability for all delivery, coordination, and execution across the program, working directly with the core team. Day to Day Job Duties: Own the end-to-end delivery, coordination, and execution of the Symphony platform (Phase 2 and beyond). Provide strong technical leadership across data engineering, architecture, and analytics workstreams. Lead and manage a blended team of 10+ resources, including architects, engineers, business analysts, and QA. Drive Phase 2 priorities: refactoring/cleanup, Phase 1 maintenance, and performance optimization. Serve as the primary escalation point to reduce management overhead for client stakeholders. Establish and enforce delivery standards, automation practices, and reusable development patterns. Identify risks, blockers, and opportunities for improvement proactively. Coordinate day-to-day operations with minimal oversight from client leads. Ensure all solutions adhere to Customer s metadata-driven architecture and pipeline standards. Present delivery status, technical decisions, and program health to stakeholders. Basic Qualifications: Minimum 10+ years of experience in data engineering or analytics delivery roles. Proven track record in leading large-scale data platform implementations end-to-end. Strong hands‑on technical background in Spark, Scala, and SQL. Deep experience with Azure Synapse; Microsoft Fabric knowledge is a plus. Experience with metadata-driven architecture and data warehousing. Demonstrated ability to lead teams without heavy client-side governance. Strong stakeholder management and communication skills. Experience in local‑first, code‑first development environments. Background in marketing data, marketing analytics, or consumer goods is preferred. Degree: Bachelor s degree in computer science, Information Technology, or a related field, or equivalent work experience. #J-18808-Ljbffr