We are looking for a highly skilled Data Architect Lead for a transformative initiative focused on unifying fragmented data systems into a centralized, AI-enabled data platform.

As a Data Architect Lead, you will play a key role in designing and delivering scalable, analytics-ready architecture that integrates data from 11+ ERP systems (NetSuite, Salesforce, SAP, QuickBooks, and more). This position requires strong technical acumen, hands-on leadership, and the ability to drive delivery across cross-functional teams, often under tight deadlines.

You’ll collaborate closely with PMs, POs, and global stakeholders, primarily based in the U.S. This is a high-impact opportunity for someone looking to architect data ecosystems that power enterprise-wide decision-making and AI-driven insights.

Key Responsibilities

Architectural Design & Delivery: Lead the design and execution of data lakes, warehouses, and transformation pipelines across multiple ERP systems.
ETL Strategy: Define strategies to ingest, cleanse, harmonize, and model master data from fragmented sources.
Master Data Governance: Establish master data standards, naming conventions, validation rules, and enforce data quality protocols.
Data Modeling: Develop scalable enterprise models for sales, orders, inventory (SKU, BOM), and labor data.
AI Enablement: Support AI-driven tools for demand forecasting, margin analysis, and productivity insights.
Stakeholder Collaboration: Align architecture solutions with business goals through regular engagement with business users, PMs, and POs.
Team Leadership: Provide hands-on leadership to developers, analysts, and QA teams to ensure scalability, performance, and security.
Documentation & Delivery: Produce ERDs, transformation logic, and change logs for handoff and production deployment.
Workshop Facilitation: Conduct architecture reviews and stakeholder workshops to refine and iterate delivery approaches.

Requirements Must-Have Qualifications

8+ years in data architecture, data engineering, or similar enterprise roles.
Proven experience integrating multiple ERP systems (NetSuite, SAP, QuickBooks, Salesforce, etc.).
Advanced proficiency in SQL, ETL design, and data modeling (star/snowflake schemas).
Strong command of cloud data platforms, especially Microsoft Azure.
Expertise in Master Data Management (MDM) and data governance frameworks.
Experience deploying AI/ML models for reporting, forecasting, or anomaly detection.
Excellent English communication skills (C1 level), including stakeholder-facing interaction.
Strong leadership managing developers, analysts, and delivery teams.
Willingness to align working hours with U.S. EST and occasionally work extended hours.