Data Architect

• Design, implement, and maintain scalable and efficient data architectures to support AI and automation projects.
• Collaborate with data scientists, AI researchers, and engineers to ensure data availability and quality for AI model training and deployment.
• Develop and optimize data pipelines and ETL processes to handle large volumes of structured and unstructured data.
• Ensure data integrity, security, and compliance with relevant regulations.
• Create and maintain comprehensive data models, schemas, and documentation.
• Evaluate and integrate new data technologies and tools to enhance our data infrastructure.
• Provide technical leadership and mentorship to data engineers and analysts.
• Stay current with industry trends and best practices in data architecture and AI.

Must-Have Qualifications

• Bachelor's degree in computer science, Information Systems, or a related field.
• Proven experience as a Data Architect, Senior Data Engineer, or in a similar data-focused role.
• Minimum 8 years experience as a Data Architect, Senior Data Engineer, or in a similar data-focused role
• Strong knowledge of database management systems, both SQL (e.g., Azure SQL, PostgreSQL) and NoSQL (e.g., Cosmos DB, MongoDB).
• Proficiency in data modeling, data warehousing, and ETL/ELT pipelines using tools such as Apache Airflow, or Azure Data Factory.
• Experience with big data technologies such as Apache Spark, Databricks, or similar.
• Familiarity with cloud data platforms, preferably Microsoft Azure
• Strong understanding of data governance, data quality, and data security practices.
• Familiarity with containerization and orchestration tools like Docker and Kubernetes.
• Understanding of CI/CD pipelines and DevOps practices for data workflows.
• Knowledge of data privacy regulations such as GDPR, CCPA, or similar compliance frameworks.

Nice-to-Have Qualifications

• Experience with big data technologies such as Apache Spark, Databricks, or similar
• Experience with AI and machine learning frameworks (e.g., TensorFlow, PyTorch, Azure ML).
• Knowledge of data visualization tools (e.g., Power BI, Tableau, Looker) and how to support reporting layers.
• Exposure to real-time data processing and streaming technologies (e.g., Kafka, Azure Event Hubs, Stream Analytics).
• Hands-on experience with Python, PySpark, or similar scripting languages for data transformation.
• Certifications in Architecture

K