Enterprise Data Architect

Key Responsibilities

Data Architecture Strategy and Design

• Develop and maintain the enterprise data architecture roadmap aligned with the company's business goals and IT strategy.
• Design scalable and robust data models to support wholesale distribution systems, including ERP, WMS, and CRM platforms.
• Architect, plan, and implement data mastery strategy and tools.
• Ensure the integration of data sources across the organization, including on-premise and cloud-based systems.

Data Governance and Compliance

• Establish and enforce data governance policies, standards, and best practices to ensure data accuracy, consistency, and security.
• Ensure compliance with relevant regulations and standards (e.g., GDPR, CCPA).
• Implement data quality metrics and monitoring frameworks.

Systems Integration and Optimization

• Collaborate with business units to integrate data from key systems such as ERP, WMS, CRM, and eCommerce platforms.
• Evaluate and implement data warehousing solutions, data lakes, and real-time analytics tools.
• Optimize ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) processes to improve data flow efficiency and reliability.

Collaboration and Leadership

• Work closely with technology, analytics, and business teams to understand data needs and deliver solutions that drive decision-making.
• Provide technical leadership and mentorship to data engineers, developers, and analysts.
• Act as the primary advocate for data-driven decision-making across the organization.

Technology and Tools

• Evaluate, select, and implement modern data technologies and platforms (e.g., Snowflake, AWS/Azure/GCP services, Power BI, Tableau).
• Oversee the design and implementation of APIs and microservices for data sharing.
• Manage the migration of legacy systems to modern data architectures.

Qualifications

Education

• Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field.
• Advanced degree (MBA, MSc) is a plus.

Experience

• 8+ years of experience in data architecture, data modeling, and database design.
• Industry experience in wholesale distribution, supply chain, or retail is highly preferred.
• Proven experience with ERP and WMS data integrations (e.g., NetSuite, SAP, Microsoft Dynamics).

Technical Skills

• Proficiency in data modeling tools (e.g., ER/Studio, ERwin, Lucidchart).
• Expertise in database technologies (e.g., SQL Server, Oracle, PostgreSQL).
• Experience with big data frameworks and cloud platforms (e.g., Hadoop, Spark, AWS, Azure, GCP).
• Strong understanding of API integrations and data transformation pipelines.

Soft Skills

• Excellent problem-solving and analytical skills.
• Strong communication and stakeholder management abilities.
• Ability to translate business needs into technical solutions.