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Mid-tier brand, metro location, generalist mid-level data role drives high applicant competition.
Core data engineering skills are transferable, though media domain preference gives moderate industry bias.
Requires solid SQL, ETL and data architecture skills but no explicit years, so filtering likely medium.
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Design, build, and maintain scalable data architecture and pipelines supporting SaaS applications, reporting platforms, and near real-time analytics.
Develop and optimize complex SQL-based solutions; implement CDC and incremental processing for data synchronization and performance improvements.
Manage production data platform operations including data quality governance, performance tuning, and integration with APIs, SaaS, and external systems.
Strong experience in SQL and database engineering with hands-on ETL/ELT pipeline development.
Good understanding of data modeling, architecture principles, and performance tuning for large-scale data systems.
Experience integrating data from APIs, SaaS platforms, and enterprise systems.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in building and optimizing production-grade data platforms with data quality and governance focus.
Skilled in real-time data architectures including Change Data Capture (CDC) and event-driven designs.
Background or exposure to cloud data platforms (Azure preferred) and media/ad-tech industry data workflows is a plus.