Head of Data Engineering

Lazard

. Define and own LAM's end-to-end data strategy, from business priorities and use cases through data products, platforms, and shared infrastructure .

Posted 10/8/2026full-timeNew York City • New York • United StatesLead💰 $200,000 - $250,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive expertise in defining and executing end-to-end data strategies, building cloud-native data platforms, and leading high-performing data engineering teams. Proficient in data governance, security, and compliance within regulated financial environments.

Highest-signal resume keywords

Data Engineering LeadershipCloud-Native Data PlatformsDataOps Function ManagementData Security and GovernanceLegacy Data Modernization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ArchitecturePythonSQLData ProductsAPIsLakehouse ArchitectureMedallion ArchitectureStreaming and Batch ProcessingEnterprise OrchestrationInfrastructure-as-Code

Soft Skills

Exceptional CommunicationPartnership with Business TeamsMentoring and Leadership

Tools & Technologies

AzureAWSGCPSnowflakeDatabricksCollibraTerraform

Industry Keywords

Data GovernanceRegulatory ComplianceSECFINRAGDPRCCPARecords RetentionData QualityAutomated TestingData Catalog

Tech Stack

Tools & technologies

AWSAzureCloudETLGoogle Cloud PlatformOraclePostgresPythonSQLTerraform

About the role

Key responsibilities & impact

Define and own LAM's end-to-end data strategy, from business priorities and use cases through data products, platforms, and shared infrastructure
Partner with the central AI and Data team to reuse firmwide platforms, models, and data products and integrate into the broader Lazard data ecosystem
Own the multi-year roadmap to retire legacy databases, on-premises infrastructure, and fragile ETL
Execute production-safe migrations using phased cutovers, parallel runs, automated reconciliation, and rollback plans
Define the target architecture and build a cloud-native data service platform with data products, SLAs, and API-first consumption
Design modular plug-and-play architecture, canonical data models, metadata standards, and data contracts
Stand up and run a DataOps function covering ingestion, reconciliation, data quality, distribution, reporting, orchestration, monitoring, alerting, SLAs, and runbooks
Track and improve operational KPIs including timeliness, accuracy, and availability
Make AI-ready data a platform default and enable governed self-service through a data catalog, semantic layer, and discoverable data products
Embed security and governance by design and act as control owner for audits and examinations
Build, lead, and mentor a high-performing data engineering team with production-first engineering practices

Requirements

What you’ll need

15+ years in data engineering, platform engineering, or data architecture, including 5+ years in senior leadership
Proven record modernizing legacy data estates such as Oracle, Sybase, and PostgreSQL across multiple business lines at an asset manager, investment bank, or similarly regulated financial institution
Experience building enterprise-scale, cloud-native data platforms on Azure, AWS, or GCP
Deep expertise in lakehouse and medallion architecture, streaming and batch, data products, APIs, Snowflake, Databricks, and Collibra
Hands-on credibility in Python, SQL, and enterprise orchestration and transformation tooling
Experience running a DataOps function, including pipeline automation, observability, automated data quality testing, and infrastructure-as-code such as Terraform
Track record delivering data foundations for AI/ML and governed self-service analytics
Strong command of data security, governance, and regulatory obligations including SEC, FINRA, GDPR, CCPA, and records retention
Exceptional communication and partnership with business, shared service, and central AI and data teams
Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or a related field

Benefits

Comp & perks

Comprehensive, competitive benefits
Individualized employee experience supporting balance across career, family, and community
Career development investment
Incentive compensation may be included