Data Architect Lead

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    "datePosted": "2025-08-12",
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    "description": "<p>We are looking for a highly skilled <span style=\"font-weight: bold\">Data Architect Lead</span> for a transformative initiative focused on unifying fragmented data systems into a centralized, AI-enabled data platform.</p>\n<p><br></p>\n<p>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).<br>This position requires strong technical acumen, hands-on leadership, and the ability to drive delivery across cross-functional teams, often under tight deadlines.</p>\n<p><br></p>\n<p>You’ll collaborate closely with PMs, POs, and global stakeholders, primarily based in the U.S.<br>This is a high-impact opportunity for someone looking to architect data ecosystems that power enterprise-wide decision-making and AI-driven insights.</p>\n<p> </p>\n<p> </p>\n<p><span style=\"font-size: 14pt\"><span style=\"font-weight: bold\">Key Responsibilities</span></span></p>\n<ul>\n<li><span style=\"font-weight: bold\">Architectural Design &amp; Delivery:</span> Lead the design and execution of data lakes, warehouses, and transformation pipelines across multiple ERP systems.</li>\n<li><span style=\"font-weight: bold\">ETL Strategy:</span> Define strategies to ingest, cleanse, harmonize, and model master data from fragmented sources.</li>\n<li><span style=\"font-weight: bold\">Master Data Governance:</span> Establish master data standards, naming conventions, validation rules, and enforce data quality protocols.</li>\n<li><span style=\"font-weight: bold\">Data Modeling:</span> Develop scalable enterprise models for sales, orders, inventory (SKU, BOM), and labor data.</li>\n<li><span style=\"font-weight: bold\">AI Enablement:</span> Support AI-driven tools for demand forecasting, margin analysis, and productivity insights.</li>\n<li><span style=\"font-weight: bold\">Stakeholder Collaboration:</span> Align architecture solutions with business goals through regular engagement with business users, PMs, and POs.</li>\n<li><span style=\"font-weight: bold\">Team Leadership:</span> Provide hands-on leadership to developers, analysts, and QA teams to ensure scalability, performance, and security.</li>\n<li><span style=\"font-weight: bold\">Documentation &amp; Delivery:</span> Produce ERDs, transformation logic, and change logs for handoff and production deployment.</li>\n<li><span style=\"font-weight: bold\">Workshop Facilitation:</span> Conduct architecture reviews and stakeholder workshops to refine and iterate delivery approaches.</li>\n</ul>\n<p><br></p>\n<p><span style=\"font-size: 14pt\"><span style=\"font-weight: bold\">Requirements</span></span></p>\n<p><span style=\"font-size: 12pt\"><span style=\"font-weight: bold\">Must-Have Qualifications</span></span></p>\n<ul>\n<li><span style=\"font-size: 12pt\">8+ years in data architecture, data engineering, or similar enterprise roles.</span></li>\n<li><span style=\"font-size: 12pt\">Proven experience integrating multiple ERP systems (NetSuite, SAP, QuickBooks, Salesforce, etc.).</span></li>\n<li><span style=\"font-size: 12pt\">Advanced proficiency in SQL, ETL design, and data modeling (star/snowflake schemas).</span></li>\n<li><span style=\"font-size: 12pt\">Strong command of cloud data platforms, especially Microsoft Azure.</span></li>\n<li><span style=\"font-size: 12pt\">Expertise in Master Data Management (MDM) and data governance frameworks.</span></li>\n<li><span style=\"font-size: 12pt\">Experience deploying AI/ML models for reporting, forecasting, or anomaly detection.</span></li>\n<li><span style=\"font-size: 12pt\">Excellent English communication skills (C1 level), including stakeholder-facing interaction.</span></li>\n<li><span style=\"font-size: 12pt\">Strong leadership managing developers, analysts, and delivery teams.</span></li>\n<li><span style=\"font-size: 12pt\">Willingness to align working hours with U.S. EST and occasionally work exte</span>nded hours.</li>\n</ul>\n<p><br></p>",
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