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We are seeking a highly skilled and experienced Data & AI Architect to join our expanding team. In this role, you will be a key architect and builder of robust, scalable, and efficient data pipelines using AWS services, Python, and AI Frameworks. You will work directly with clients to understand their data needs, design optimal data architectures, and implement solutions that transform raw data into actionable insights, driving critical business decisions.
Job Responsibility:
Design, develop, and maintain scalable data pipelines using AWS services (S3, Glue, Lambda, Kinesis, Redshift, Step Functions, etc.) and Python
Design, develop, and implement end-to-end models and AI agents, from data preprocessing to deployment and monitoring
Implement and optimize large-scale data processing solutions using modern data platforms, for example Databricks, Snowflake, AWS for various client use cases
Collaborate closely with product managers, engineers, and business stakeholders to understand data consumption requirements and deliver high-quality data products
Ensure data quality, reliability, and security throughout the data lifecycle
Apply Generative AI concepts to data platforms for integration with LLMs, RAG architectures, and their practical application in enterprise solutions
Implement CI/CD pipelines and integrate data solutions into broader DevOps practices
Provide technical leadership and mentorship within project teams
Requirements:
7+ years of hands-on experience in data engineering, with a strong focus on cloud-native solutions
Expert-level proficiency with AWS data services and best practices. AWS and Databricks certifications are a significant plus
Exceptional Python programming skills for data engineering and automation
Experience with Databricks or Apache Spark for big data processing
Experience with at least one major cloud ML platform, eg AWS Sagemaker
Advanced SQL capabilities for data manipulation, querying, and optimization
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