Data Engineer

Lazard is one of the world’s preeminent financial advisory and asset management firms. Our people and culture make the difference. While global in presence and reach, ours is a close, collaborative community of just over 3,000 professionals. Lazard is a place of continuous knowledge sharing, skill development and relationship building, where professionals grow and succeed together. Our entrepreneurial culture, flat structure and embrace of individual differences, allow creative ideas, original concepts, and unique perspectives to drive our business forward — and for careers to take flight.

Lazard Asset Management (LAM) is seeking a Data Engineer to join its Enterprise Data team and help advance the firm’s data journey. This role is responsible for the firm’s external market data ETL and warehousing, contributing to data architecture and cloud engineering design and delivering new data pipelines. It is a highly hands-on backend engineering role within a lean engineering team, where the successful candidate is expected to take ownership of problems, design practical solutions, and implement them end to end. We are looking for a highly motivated, organized, and experienced engineer with a strong sense of ownership, disciplined software development practices, and a focus on clean design, high reliability, and operational stability.

We’ll trust you to: 

• Contribute to the operational excellence of existing ETL workloads running on Snowflake, Databricks, and Sybase.
• Respond to end-user requests and troubleshoot issues related to data access, latency, and performance.
• Work with business and technology teams to understand their data consumption patterns and optimize them for performance and cost.
• Work closely with stakeholders to design new data delivery channels in Azure.
• Coordinate design, configuration, and deployment activities with Infrastructure teams.
• Use dbt (data build tool) for transformations between raw ingestion layers and curated downstream datasets.
• Use Python for scripting and automation to support data management.

You’ll need to have: 

• 5-10+ years of hands-on database and data warehouse engineering experience with external market data within a financial institution.
• 5+ years of advanced SQL expertise as applied to data engineering workloads.
• 5+ years of Azure cloud experience with focus on Azure data engineering services.
• 5+ years of hands-on experience with ETL techniques and processes, including identifying and resolving gaps, overlaps, and inconsistencies in market data feeds.
• 5+ years of experience in a team responsible for acquiring, ingesting, and managing external market data.