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