Technical Architect

Responsibilities

• Design and implement scalable data architecture solutions using Databricks and AWS.
• Develop and maintain data models, data flows, and data integration processes.
• Collaborate with stakeholders to understand data requirements and translate them into technical specifications.
• Ensure data governance and compliance with industry standards and best practices.
• Optimize data storage and retrieval processes to enhance performance and efficiency.
• Lead the evaluation and selection of data technologies and tools.
• Provide technical guidance and mentorship to junior data architects and team members.
• Stay updated on emerging trends and technologies in data architecture and analytics.

Requirements

• Proven expertise as a Data Architect with a strong focus on Databricks.
• In-depth knowledge of data fabric concepts and implementation.
• Extensive experience with AWS services related to data storage, processing, and analytics.
• Strong understanding of data modeling, ETL processes, and data warehousing.
• Excellent problem-solving skills and the ability to work in a fast-paced environment.
• Strong communication and interpersonal skills to collaborate effectively with technical and non-technical stakeholders.

Preferred Skills

• Familiarity with big data technologies such as Apache Spark, Hadoop, or similar frameworks.
• Experience with data visualization tools and techniques.
• Knowledge of machine learning concepts and their application in data architecture.
• Experience in agile methodologies and project management practices.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Relevant certifications in data architecture, cloud technologies, or data management are a plus.
• Demonstrated ability to lead complex data projects from conception to implementation.