Lead Data Engineer

Lead a team of data engineers to deliver data products, design and implement data infrastructure and pipelines for data engineering, BI, ML, and AI capabilities.

Lead a team of data engineers to deliver data products, design and implement data infrastructure and pipelines for data engineering, BI, ML, and AI capabilities.

Lead a team of data engineers in developing Databricks solutions for financial services. Focus on ETL/ELT, real-time data processing, and cloud infrastructure management. Requires 8+ years of data engineering experience.

Lead cloud-native data architecture initiatives, defining standards, governance, and scalable design patterns for enterprise data systems to support analytics, reporting, and AI/ML.

Lead cloud-native data architecture initiatives, defining standards, governance, and scalable design patterns for enterprise data systems to support analytics, reporting, and AI/ML.

Lead a team of data engineers in developing Databricks solutions for financial services. Focus on ETL/ELT, real-time data processing, and cloud infrastructure management. Requires 8+ years of data engineering experience.

Leads a team of data engineers, focusing on Databricks and cloud platforms to build and optimize enterprise data solutions, including ETL/ELT pipelines and real-time processing.

Leads a team of data engineers, focusing on Databricks and cloud platforms to build and optimize enterprise data solutions, including ETL/ELT pipelines and real-time processing.

Lead Data Engineer to design and architect data pipelines on cloud platforms (Snowflake, Databricks, AWS). Build orchestration workflows, mentor teams, and drive modernization. Experience with Python, Java, Airflow, PostgreSQL, MongoDB, Docker, Kubernetes, and CI/CD required.