Lead Data Architect

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November 9

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AGENTIC

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Artificial Intelligence • B2B • Enterprise

AGENTIC is a B2B conference and event series focused on the autonomous AI era, convening enterprise leaders, builders, policymakers, and vendors to explore and operationalize AI agents, generative AI, and automation. The event offers keynotes, workshops, executive roundtables, and an interactive "Vibe Lounge" to showcase tools, enable hands-on demos, and drive measurable, outcomes-focused connections between buyers and solution providers across industries like healthcare, finance, retail, manufacturing, media, and government. AGENTIC emphasizes trust-driven growth, responsible AI governance, and practical deployment strategies to help organizations adopt AI at scale.

11 - 50 employees

Founded 2017

🤖 Artificial Intelligence

🤝 B2B

🏢 Enterprise

📋 Description

• Lead the design and execution of data lakes, warehouses, and transformation pipelines across multiple ERP systems. • Define robust strategies to ingest, cleanse, harmonize, and model master data from fragmented sources. • Establish master data standards, naming conventions, validation rules, and enforce data quality protocols. • Develop scalable enterprise models for sales, orders, inventory (SKU, BOM), and labor data. • Support AI-driven tools for demand forecasting, margin analysis, and productivity insights. • Engage regularly with business users, PMs, and POs to align data architecture with business goals. • Provide hands-on technical leadership to developers, analysts, and QA to ensure scalability, performance, and security standards are met. • Produce ERDs, transformation logic, and change logs for technical handoff and production deployment. • Conduct architecture reviews and stakeholder workshops to iterate and refine delivery approach.

🎯 Requirements

• 8+ years in data architecture, data engineering, or similar roles within enterprise environments. • 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-based data platforms, especially Microsoft Azure. • Demonstrated 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 experience. • Strong leadership in managing developers, analysts, and delivery teams. • Willingness to align working hours with U.S. EST and occasionally work extended hours.

🏖️ Benefits

• Flexible working hours • Professional development opportunities