We are seeking an experienced Senior Data Architect, focused on PySpark and Delta Lake.

- Implement AI tools and automation frameworks to enhance development and service delivery, ensuring efficiency and quality;

- Utilize AI-based tools to automate repetitive tasks, improve service performance, and accelerate development cycles;

- Design and implement scalable and robust microservices using Python, Delta Lake, ADB Notebooks, KAFKA, and Couchbase;

- Apply AI techniques to optimize backend architectures for speed, reliability, and efficiency;

- Take full ownership of the service lifecycle, including technical design, development, testing, and deployment;

- Ensure services are promoted to production with minimal downtime and human intervention, keeping all environments operational;

- Develop and integrate automated solutions for development, testing, deployment, and monitoring using AI-driven technologies;

- Automate unit tests, security checks, and code reviews, using AI tools to identify vulnerabilities and improve code quality;

- Work in an agile environment, contributing to sprint cycles and enhancing workflow automation;

- Use AI techniques to analyze large datasets, uncover insights, and optimize system performance and user experience;

- Be proactive in delivering AI automation across all services, consistently identifying areas for improvement and driving continuous automation.

- Strong working experience in Python, Delta Lake, ADB  Notebooks, Kafka and Couchbase. Deep understanding of microservices architecture and cloud-based service deployment;

- Expertise in using AI tools for coding, testing, and deployment automation. Familiarity with machine learning, AI model integration, and automation platforms to streamline workflows;

- Experience working in agile environments and using automation to enhance sprint efficiency, minimize manual tasks, and accelerate delivery;

- Strong understanding of security best practices and how to automate security checks and vulnerability scans within the development and deployment pipeline;

- Ability to take full ownership of services, ensuring smooth development, deployment, and maintenance with minimal supervision. Automate the entire pipeline from code development to production;

- Experience in automating data mining processes and deriving actionable insights using AI-driven techniques.

- A strong passion for automation and AI-driven innovation;

- Ability to quickly adapt to new AI tools and products;

- Proactive problem solver, constantly looking for ways to improve and automate workflows;

- Excellent communication skills for collaborating with global teams and stakeholders.