Responsibilities

• Platform Architecture: Lead the design and implementation of a robust data platform with microservices architecture, ensuring scalability, reliability, and flexibility.
• Data Ingestion: Oversee the development of data ingestion pipelines to acquire, clean, and preprocess data from various sources, making it readily available for analysis.
• Microservices Development: Build and maintain microservices that enable data scientists to access and manipulate data, develop ML models, and deploy them into production.
• Integration: Collaborate with cross-functional teams to integrate the data platform with other systems, tools, and data sources.
• Performance Optimization: Continuously optimize the platform for performance, cost-efficiency, and resource utilization.
• Security and Compliance: Implement robust security measures and ensure compliance with data privacy regulations.
• Documentation: Maintain comprehensive documentation for platform architecture, APIs, and development processes.
• Team Leadership: Mentor and lead a team of engineers and data professionals, fostering a culture of innovation and excellence.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
• Proven experience as a Data Platform Lead or a similar role with expertise in microservices architecture.
• Strong proficiency in cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes).Experience with big data technologies (e.g., Hadoop, Spark, Kafka) and data processing frameworks.
• Proficiency in programming languages (e.g., Python, Java) and data querying languages (e.g., SQL).Excellent problem-solving and architectural design skills.
• Strong communication and leadership skills.
• Experience in machine learning or data science is a plus.