Cloud AWS - Databricks Technical Architect

5 hours ago

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Kaizen Analytix

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Predictive Analytics • Product Development • Advisory Services • Big Data Solutions Bridging Business and IT • Integrated Revenue Management

51 - 200 employees

Founded 2014

🤝 B2B

☁️ SaaS

🤖 Artificial Intelligence

Description

• Lead the design and implementation of cloud-based data architectures on AWS, utilizing a wide range of AWS services (e.g., S3, EC2, Lambda, RDS, Redshift, Athena, Glue). • Architect and deploy scalable, secure, and cost-effective Databricks environments to process large volumes of data for analytics, data engineering, and machine learning. • Provide leadership in designing modern data architectures, including real-time data pipelines, ETL/ELT workflows, and big data processing systems using Databricks and AWS technologies. • Define and implement best practices for managing and optimizing data lakes, data warehouses, and data pipelines. • Ensure architecture decisions align with business requirements, security policies, and compliance standards.

Requirements

• AWS Certification: Maintain and leverage AWS certification to design and implement cloud solutions. • Cloud Architecture: Design and optimize cloud architecture for scalability and efficiency. • Containers & Orchestration: Implement containers and orchestration tools for streamlined application deployment. • Microservices Architecture: Design and manage microservices architecture for flexible and scalable systems. • Cloud Environment Setup and Configurations: Set up and configure cloud environments to meet project requirements. • Security & Access Management: Ensure secure access management and compliance within cloud environments. • SQL, Python, Visualization & Analytical Tools: Use SQL, Python, and analytical tools for data processing and visualization. • API Development & Management: Develop and manage APIs for seamless data integration and functionality.