Data Architect

4 weeks ago

Quezon City, Philippines HRTX Full time

Responsibilities: 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 roleStrong 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 AzureStrong 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 G

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