Top Data & Analytics Jobs

Lead design and implementation of secure, scalable multi-cloud data platforms and lakehouse architectures. Drive DevOps/IaC, data governance, medallion ETL/ELT pipelines, cost optimization, observability, and mentor global engineering teams while collaborating with stakeholders to translate business needs into production data solutions.

Lead design and implementation of scalable, secure cloud-native data platforms (AWS/Azure) and lakehouse architectures. Drive DevOps/IaC, governance, data pipelines, cost optimization, mentorship, and cross-functional collaboration to ensure performant, compliant, and future-ready data infrastructure.

Lead design and implementation of scalable, secure cloud-native data platforms across AWS and Azure (lakehouse/medallion patterns). Drive DevOps/IaC, data governance, ETL/ELT pipelines, cost/observability optimization, and mentor global engineering teams while collaborating with stakeholders to translate business needs into production solutions.

Lead design and implementation of scalable, secure cloud-native data platforms across AWS and Azure. Drive lakehouse and medallion architectures, DevOps/IaC, data governance, pipeline engineering, cost optimization, observability, and mentor global engineering teams while collaborating with stakeholders to translate business needs into production systems.

Lead design and delivery of multi-cloud data platforms and Lakehouse architectures. Own governance, security, IaC/DevOps, data pipelines (ETL/ELT), performance, cost optimization, and mentor global engineering teams while collaborating with stakeholders to translate business needs into scalable data solutions.

Lead design and implementation of scalable, secure cloud-native data platforms and Lakehouse architectures across AWS and Azure. Drive DevOps/IaC, governance, medallion pipelines, performance optimization, mentorship, and cross-team collaboration to deliver production-grade data solutions.

Lead design and implementation of cloud-native data platforms and Lakehouse architectures across AWS and Azure. Drive DevOps, infrastructure-as-code, data governance, security, scalable ETL/ELT pipelines, medallion architectures, cost optimization, and mentor global engineering teams while collaborating with stakeholders to translate business needs into production-ready data solutions.

Lead design and implementation of scalable, secure cloud-native data platforms across AWS and Azure (lakehouse, medallion model). Drive DevOps/IaC, data governance, security, pipelines (ETL/ELT), cost optimization, monitoring, and mentor global engineering teams while collaborating with stakeholders and enforcing platform best practices.

Lead design and delivery of scalable, secure multi-cloud data platforms and lakehouse architectures. Drive DevOps/IaC, governance, data pipelines, cost optimization, and mentor global engineering teams while ensuring compliance and operational excellence.

Design and develop automation and low-code solutions, manage complex issue resolution and project implementation, optimize business processes, translate customer needs into improvements, coordinate stakeholders, and use analytics and database tools (Alteryx, Tableau/Qlik, SQL, APIs) to support Services division growth.