Top Data & Analytics Jobs

Leads the technical vision, architecture, and delivery of enterprise search analytics and ontology solutions for ecommerce. Manages and mentors software engineering teams, integrates platforms, oversees IT service operations and quality, and improves search relevance using NLP, vector search, personalization, machine learning, and performance KPIs. Partners with product, data science, and engineering leaders while driving ontology, metadata, governance, and semantic search adoption across digital commerce.

Design, build, optimize, and maintain scalable real-time and batch data pipelines, microservices, and cloud-based ingestion systems. Develop AWS-based data workflows, integrate APIs and databases, implement automated testing and validation, and monitor distributed systems for reliability and data quality. Translate business requirements into scalable system designs while supporting CI Autonomy and collaborating in an agile environment.

Designs, builds, and maintains scalable data pipelines, microservices, and cloud-based data systems. Develops real-time and batch processing solutions using Python, Java, and AWS services; creates data integrations and workflows; translates requirements into system designs; implements testing and validation; and monitors distributed pipelines for reliability, performance, and data quality.

Lead the design and development of scalable data pipelines, microservices, cloud-native ingestion systems, and streaming solutions. Collaborate with architects, engineers, product teams, and business stakeholders to build reliable data platforms using Python, Java, AWS services, SQL, and relational and NoSQL databases. Establish data quality, testing, monitoring, automation, and validation frameworks while optimizing performance and resolving production issues across distributed systems.

Design and govern data assets, develop pipeline specifications with field-level mapping and quality rules, document domain data models and canonical formats, design scalable databases and ETL solutions, and solve complex data problems to support Cat Digital. Hybrid work: telecommute one day per week.