
51 - 200 employees
Founded 2014
🤝 B2B
☁️ SaaS
🤖 Artificial Intelligence
B2B • SaaS • Artificial Intelligence
Kaizen Analytix is a company focused on providing data-driven insights and analytics solutions to businesses across multiple industries. They specialize in translating complex data into actionable insights that help businesses boost revenues, cut costs, save time, and improve margins. Kaizen offers a range of services, including customer insights and marketing analytics, technology and innovation, operations and supply chain management, and finance transformation and analytics. Their platform leverages AI to deliver configurable business solutions, aiming for rapid delivery and continuous improvement for their clients. Kaizen Analytix serves a diverse array of industries, including automotive, consumer, energy, and industrials, among others.
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51 - 200 employees
Founded 2014
🤝 B2B
☁️ SaaS
🤖 Artificial Intelligence
B2B • SaaS • Artificial Intelligence
Kaizen Analytix is a company focused on providing data-driven insights and analytics solutions to businesses across multiple industries. They specialize in translating complex data into actionable insights that help businesses boost revenues, cut costs, save time, and improve margins. Kaizen offers a range of services, including customer insights and marketing analytics, technology and innovation, operations and supply chain management, and finance transformation and analytics. Their platform leverages AI to deliver configurable business solutions, aiming for rapid delivery and continuous improvement for their clients. Kaizen Analytix serves a diverse array of industries, including automotive, consumer, energy, and industrials, among others.
• Design end-to-end AWS cloud solutions aligned with business, security, performance, and cost requirements • Develop target-state architectures for cloud migration, modernization, and new application development • Architect scalable data platforms, including ingestion, storage, transformation, governance, and consumption layers • Define enterprise data models, data standards, metadata practices, and data lifecycle management approaches • Lead architecture reviews and provide technical guidance across application, infrastructure, and data teams • Establish patterns for secure connectivity, identity management, encryption, logging, monitoring, and auditability • Design resilient multi-account AWS environments using Organizations, Control Tower, and landing zone principles • Evaluate and recommend AWS services such as EC2, ECS, EKS, Lambda, RDS, Aurora, DynamoDB, S3, Glue, Lake Formation, Redshift, Kinesis, and Athena • Partner with engineering, analytics, security, and operations teams to translate requirements into scalable solutions • Define integration patterns for APIs, event-driven systems, batch processing, and real-time data flows • Create technical standards, reference architectures, and reusable design patterns • Optimize architectures for reliability, performance, operational excellence, security, and cost • Support data governance, master data management, data quality, lineage, and compliance initiatives • Mentor teams and influence architectural decision-making across the organization • Participate in roadmap planning, vendor evaluation, and cloud/data strategy discussions
• 8+ years of experience in cloud, solutions architecture, data architecture, or related technical leadership roles • Strong hands-on experience designing and delivering AWS-based architectures • Deep understanding of networking, security, IAM, compute, storage, database, and integration services in AWS • Proven experience with enterprise data architecture, including data warehousing, data lakes, and data governance • Experience with modern data engineering patterns, ELT/ETL, streaming, and batch pipelines • Knowledge of relational and non-relational databases, dimensional modeling, and metadata management • Familiarity with infrastructure as code and CI/CD practices • Experience working in regulated or enterprise environments with security and compliance requirements • AWS certifications such as Solutions Architect Professional, Data Analytics, or related certifications preferred
• Professional development • AWS certifications
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