Data Architect

<ul>
<li>Data Architecture Design - Design, develop and implement data architectures that align with business needs and growth plans. Define data models, schemas and structures for different types of data</li>
<li>Data Integration - Work closely with data engineers to ensure smooth data integration from various sources. Design and implement ETL (Extract, Transform and Loan) processes.</li>
<li>Database Management - Optimize and manage databases for performance, scalability, and reliability.</li>
<li>Data Governance - Establish data governance frameworks, data quality standards, and data lifecycle management processes. Ensure compliance with data privacy regulations and security practices.</li>
<li>Collaboration - Collaborate with cross-functional teams including data scientists, analysts, software developers, and business stakeholders to understand data requirements and provide suitable solutions.</li>
<li>Documentation - Document data architecture designs, data flows, and technical specifications. Create and maintain documentation to aid in knowledge sharing and future reference.</li>
<li>Performance Optimization - Monitor and analyze data system performance. Identify bottlenecks and areas for improvement, and implement solutions to enhance data processing speed and efficiency.</li>
</ul><h2>Requirements</h2><h2>Skills and Qualifications:</h2><ul>
<li>At least 2 to 4 years in data engineering and architecture, database design, and data integration.</li>
<li>Strong understanding of database system, data modeling principles and ETL processes</li>
<li>Knowledgable of relational databases (SQL Server and MySQL)</li>
<li>Experience with ETL Tools/Data Warehousing Tools (Informatica, etc) and cloud platform (Amazon Web Services)</li>
<li>Understanding of data governance, data security, and compliance with regulation</li>
</ul>