NetSuite Data Architect
hace 2 semanas
Agentic Dream is seeking a highly skilled Data Architect Lead to join our full-time team supporting the Master Data Optimization (MDO) project. This transformative initiative focuses 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 demands strong technical acumen, hands-on leadership, and the ability to drive delivery across cross-functional teams, often under tight deadlines. You'll work in close collaboration 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 Requirements
Must-Have Qualifications
- 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
Nice-to-Have
- Experience with Power BI and backend modeling.
- Familiarity with tools like Accura360, RF Smart, QuickBooks Eagle, CH Robinson.
Responsibilities
- Architectural Design & Delivery: Lead the design and execution of data lakes, warehouses, and transformation pipelines across multiple ERP systems.
- ETL Strategy: Define robust 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: Engage regularly with business users, PMs, and POs to align data architecture with business goals.
- Team Leadership: Provide hands-on technical leadership to developers, analysts, and QA to ensure scalability, performance, and security standards are met.
- Documentation & Delivery: Produce ERDs, transformation logic, and change logs for technical handoff and production deployment.
- Workshop Facilitation: Conduct architecture reviews and stakeholder workshops to iterate and refine delivery approach.
If you meet these requirements and are ready to join a dynamic and challenging team, we want to hear from you
Apply now and be part of our growth
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