Data Architect (Cloud, AWS, SQL)

About Us:
XanhSM is a leading innovator in the ride-hailing industry, committed to providing 5 stars, green, and smart transportation services. Our platform leverages cutting-edge technology to offer seamless experiences for both drivers and passengers. We are looking for a talented Data Architect to join our team and drive our data initiatives to the next level.
 

Job Overview:
As a Data Architect at XanhSM, you will be responsible for designing, building, and managing our data infrastructure. You will work closely with cross functional teams, including data scientists, to ensure data is collected, stored, and processed efficiently, enabling data-driven decision-making across the organization. Your expertise will be crucial in shaping the future of our data ecosystem and supporting our growth and innovation.
 

Key Responsibilities:

• Design and implement scalable, secure, and high-performance data architectures that meet the needs of our ride-hailing platform.
• Develop and maintain data models, data flows, and data integration processes.
• Collaborate with software engineers, data engineers, and data scientists to optimize data pipelines and ensure data quality and integrity.
• Implement data governance practices, including data cataloging, data lineage, and metadata management using tools like Google Data Catalog.
• Manage and optimize data storage solutions, including Google BigQuery and PostgreSQL RDS (AWS).
• Ensure data security and compliance with industry standards and regulations, leveraging AWS and Google Cloud security best practices.
• Lead efforts to streamline data access and usage across the organization, including integration with tools like Google Sheets and Power BI.
• Stay current with industry trends and emerging technologies, evaluating their potential impact on our data architecture.
• Utilize big data technologies to process and analyze large datasets, enabling advanced analytics and machine learning applications.
• Work with data scientists to develop and deploy machine learning models using frameworks like TensorFlow.