Teams at NielsenIQ

Designs and leads scalable data platforms, ETL/ELT pipelines, cloud data warehouses, lakehouse architectures, and AI/ML data workflows. The role owns architecture, data quality, governance, observability, CI/CD, infrastructure automation, and production-grade Python engineering. It provides technical leadership across engineering teams, mentors engineers, drives technology decisions, and partners with stakeholders to improve platform reliability, deployment speed, data quality, and AI solution adoption.

Provides technical support by monitoring support queues, diagnosing software issues, troubleshooting databases and Windows environments, resolving installation and IIS problems, and assisting clients with application support through Citrix. The role requires SQL Server and Oracle administration, Windows services and registry expertise, MSI troubleshooting, Excel and Access familiarity, and strong client communication skills.

Architects, builds, secures, and optimizes enterprise data pipelines and cloud data platforms. Designs batch and real-time ELT/ETL frameworks, manages Snowflake environments, develops Azure-based solutions, and implements data warehousing, quality, testing, monitoring, CI/CD, infrastructure-as-code, and DevSecOps practices. Leads technical decisions, design and code reviews, roadmap discussions, and mentors engineers while partnering with BI, ML, Product, Data Science, and business teams.