Head of Data Engineering

About Lazard Founded in 1848, Lazard is the preeminent financial advisory and asset management firm, with operations in North and South America, Europe, the Middle East, Asia, and Australia. Lazard provides advice on mergers and acquisitions, capital markets and capital solutions, restructuring and liability management, geopolitics, and other strategic matters, as well as asset management and investment solutions to institutions, corporations, governments, partnerships, family offices, and high net worth individuals. For more information, please visit Lazard.com. Social Media Disclosure: https://www.lazard.com/social-media-community-guidelines/

Lazard

A global financial advisory and asset management firm, built over generations on a foundation of client service

Financial Advisory and Asset Management

See all employees

L

lazard.com

1,001-5,000 employees

Financial Services

New York, New York

1848

Public Company

534k LinkedIn followers

Raised $700M

• Define and own LAM's end-to-end data strategy, from business priorities and
• use cases through data products, platforms, and shared infrastructure,
• co-designing solutions with investment, distribution, and operations teams to
• deliver measurable outcomes
• Partner with the central AI and Data team to reuse firmwide platforms,
• models, and data products, adopt enterprise data standards, and integrate
• cleanly into the broader Lazard data ecosystem
• Own the multi-year roadmap to retire legacy databases, on-premises
• infrastructure, and fragile ETL, rebuilding LAM's data estate on a modern
• cloud-native foundation
• Execute production-safe migrations (phased cutovers, parallel runs, automated
• reconciliation, rollback plans) and report progress, value, and risk to
• technology and business leadership
• Define the target architecture (ingestion, lakehouse storage, transformation,
• serving, observability) and build a data service platform with well-defined
• data products, published SLAs, and API-first consumption
• Design a modular, plug-and-play architecture on open standards so tools,
• vendors, and data sources can be swapped quickly and at low cost; set
• canonical data models, metadata standards, and data contracts, and own the
• data engineering toolchains
• Stand up and run a new DataOps function that automates critical processes
• (ingestion, reconciliation, data quality, distribution, reporting) with
• orchestration, monitoring, alerting, SLAs, and runbooks
• Track and improve operational KPIs (timeliness, accuracy, availability) and
• report performance to business stakeholders
• Make AI-ready data a platform default (trusted, documented, lineage-tracked
• datasets for training, backtesting, retrieval, and inference) and enable
• governed self-service via a data catalog, semantic layer, and discoverable
• data products, replacing shadow pipelines and one-off extracts
• Embed security and governance by design (RBAC/ABAC, classification,
• encryption, masking, lineage, data quality SLOs); meet financial services
• regulatory requirements and act as control owner for audits and exams,
• partnering with InfoSec, Risk, and Compliance
• Build, lead, and mentor a high-performing data engineering team, instilling
• production-first discipline: CI/CD, infrastructure-as-code, automated
• testing, observability, and incident management
• 15+ years in data engineering, platform engineering, or data architecture,
• including 5+ years in senior leadership
• Proven record modernizing legacy data estates (e.g., Oracle, Sybase,
• PostgreSQL) across multiple business lines at an asset manager, investment
• bank, or similarly regulated financial institution
• Experience building enterprise-scale, cloud-native data platforms (Azure,
• AWS, or GCP) with full ownership of technology decisions, and deep expertise
• in modern architecture (lakehouse and medallion design, streaming and batch,
• data products, APIs) and platforms such as Snowflake, Databricks, and
• Hands-on credibility in Python, SQL, and enterprise orchestration and
• transformation tooling, with experience running a DataOps function (pipeline
• automation, observability, automated data quality testing,
• 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 (SEC,
• FINRA, GDPR, CCPA, records retention)
• Exceptional communicator who has partnered with business, shared service, and
• central AI and data teams to execute enterprise data strategy and translate
• technical vision into business outcomes
• Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or
• a related field
• Asset management data domain expertise: portfolio, market, reference, client,
• performance, and risk data
• Experience with data mesh or domain-oriented ownership, and with catalog and
• API tooling (e.g., Collibra, Atlan, Azure API Management)
• Exposure to GenAI data patterns such as feature stores, vector databases, and
• LLM data pipelines
• Relevant certifications (e.g., Azure, AWS, or GCP data/architect
• certifications, CDMP)

• We strive to enhance the total health and well-being of our employees through
• comprehensive, competitive benefits. Our goal is to offer a highly
• individualized employee experience that enables you to balance your commitments
• to career, family, and community. When you work for Lazard, you are working for
• an organization that cares about your unique talents and passions, and will
• continue to invest in the development of your career.
• We expect the base salary range for this role to be approximately $200,000 -
• $250,000 USD. Various factors contribute to determining the actual base
• compensation offered, including but not limited to the applicant’s years of
• relevant experience, career tenure, qualifications, level of education attained,
• certifications or other professional licenses held, and relevant skills for the
• role. Base salary is one component of Lazard’s compensation package, which also
• includes comprehensive benefits and may include incentive compensation.
• Apply! We’ll get in touch on the next steps.
• Lazard is an intellectual capital business committed to delivering the best
• advice and solutions to clients. To achieve these objectives, we focus on
• attracting, developing and retaining the best talent. We believe that a
• workforce comprised of people who represent a wide array of backgrounds,
• experiences and perspectives creates a rich variety of thought that empowers us
• to challenge conventional wisdom, solve problems creatively and make better
• decisions.
• Lazard was built on the premise that a multicultural firm can best serve a
• global clientele. As a global firm that has grown organically from local roots
• in different countries, we have a deep tradition of respecting and appreciating
• individual differences. Doing so has been core to our success for over 175
• years. We are committed to sustaining an environment where every colleague is
• supported in their professional pursuits, can maximize their individual
• potential and contribute to our collective success.