Core Responsibilities
As a Data Architect, you will lead the design and implementation of enterprise-scale data systems, ensuring high performance, availability, and security of our AI-driven infrastructure.
Technical Stack
- Cloud Platforms: Azure, AWS, GCP
- Big Data: Hadoop, Spark, Kafka
- Databases: Snowflake, MongoDB, PostgreSQL
- Architecture: Microservices, ETL/ELT pipelines
Required Experience
Minimum of 8-10 years in data engineering or architecture. Proven track record in designing enterprise-scale data lakes and warehouses. Deep expertise in high-demand digital environments and AI implementation.
Core Skills
Advanced proficiency in SQL, Python, and Java. Mastery of cloud-native data services on AWS, Azure, or GCP. Skilled in distributed computing (Spark, Flink) and real-time streaming architectures.
Preferred Certifications
AWS Certified Data Engineer – Associate/Professional. Google Professional Data Architect. Microsoft Certified: Azure Solutions Architect Expert. Snowflake Certified Data Architect Professional.
Lead the Future of Data
Join MWJ Today Tech as a Data Architect and engineer enterprise AI solutions for global clients.