We are looking for a highly skilled Data Architect with a hands-on approach to architecting, designing, and implementing data solutions that align with our business objectives. The ideal candidate will have a strong background in data modeling, database design, and data management practices, along with proficiency in various data technologies and tools.
Requirements:
• Proven experience ( 4 years) as a Data Architect with a strong focus on hands-on data architecture and design.
• In-depth knowledge of data modeling principles and methodologies (e.g., relational, dimensional, NoSQL).
• Proficiency in database technologies such as SQL Server, MySQL, PostgreSQL, MongoDB, Influx etc.
• Proficiency in big data technologies such as Hadoop, Spark, Kafka, etc., for processing and analyzing IoT data.
• Experience with data warehousing concepts, techniques, and tools
• Hands-on expertise in data integration, ETL/ELT processes, and tools
• Hands-on experience with programming/scripting languages such as Java, Python, .Net , etc.
• Experience with Data lake development a plus
• Familiarity with cloud-native architectures, microservices, and containerization technologies (e.g., Docker, Kubernetes) is a plus.
• Excellent attention to detail and communication skills, both written and oral
• Excellent organizational and time management skills
• Bachelor’s degree in Computer Science or a related field
Responsibilities:
• Lead the design and development of data architecture solutions that support business needs and objectives.
• Design and implement data models, schemas, and structures for optimal performance and usability.
• Design and implement data ingestion, processing, storage, and analytics solutions to support real-time and batch processing requirements
• Implement data security, privacy, and compliance measures to protect sensitive data and ensure regulatory compliance.
• Optimize data architectures for performance, scalability, and reliability, leveraging Azure services and best practices.
• Provide technical leadership and guidance to development teams, ensuring adherence to architectural standards and best practices.