What are the responsibilities and job description for the Enterprise Data Architect position at MHK TECH INC ?
Job Title : 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.
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