Data Architect

Summary 

• Design and build scalable, high-performance data architecture systems to support business objectives. 
• Evaluate and integrate new database technologies and data management systems. 
• Collaborate with stakeholders to identify and meet data requirements for various business processes. 
• Ensure data security, quality, and compliance with industry standards and regulations. 
• Lead initiatives to optimise data flow, collection, and storage processes.

Key Skills 

• Expertise in database design and concepts, including relational and non-relational databases. 
• Proficiency with data modeling tools and languages such as SQL, NoSQL, XML, and JSON. 
• Strong understanding of big data technologies, data warehousing, and ETL processes. 
• Knowledge of cloud-based data solutions and architectures (AWS, Azure, Google Cloud). 
• Ability to communicate complex data concepts to non-technical stakeholders.

Standard Industry Training 

• Certification in data architecture and management (e.g., Certified Data Management Professional). 
• Training in big data technologies (Hadoop, Spark, Kafka). 
• Workshops on cloud data solutions and architectures. 
• Continuous education in data security and governance. 
• Advanced courses in database optimisation and performance tuning.

Interview Questions for Data Architects

1. Describe the most complex data architecture you've designed and implemented.
2. How do you approach data modeling for a new business application?
3. What strategies do you use to ensure data quality and integrity?
4. Can you discuss your experience with migrating databases to the cloud?
5. How do you balance the need for immediate data access against security and compliance requirements?