Top Data & Analytics Jobs

Lead data engineering architecture and execution for large-scale, low-latency analytics. Own technical direction, ensure operational data quality, design streaming and batch pipelines, mentor engineers, coordinate cross-functional teams, and deliver scalable solutions using Spark, Airflow, and AWS or equivalent data platforms.

Lead and scale the data engineering organization to build data products and architecture that power GTM (marketing and sales) strategy. Define technical strategy, enable reporting, analytics, data science, ML/AI workloads, and partner with IT, product, analytics, and GTM stakeholders to deliver production-grade data platforms and services.

Build and maintain ETL/ELT pipelines to move product data into analytics-ready stores (Postgres, data lake, warehouse). Design and optimize data models, ensure data quality and documentation, support ad-hoc research requests, and collaborate with research and engineering teams to enable reproducible analytics.

Lead and grow a finance data engineering team, provide technical direction for scalable data platforms, drive engineering excellence and processes, and partner with business, data science, and analytics teams to build trusted data products.

Lead and execute data engineering initiatives: define metrics, instrument logging, ingest and model data, build ETL/ELT pipelines, ensure data quality and governance, optimize processing performance, enable analytics/visualization, and lead projects that drive product and business strategy.