Americas
Corporate
New York
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.
The Lazard Data Analytics Group, composed of data scientists, AI engineers, and software engineers, drives innovation by developing advanced AI and data science solutions that enhance decision-making across our financial advisory and asset management business lines. This team ensures Lazard stays at the forefront of a data-driven world, delivering insights that support client engagements and strengthen key partnerships, while keeping the firm competitive and efficient in an evolving financial landscape.
As a Data Engineer, you’ll lead efforts to onboard and model datasets on modern cloud data platforms, delivering reliable pipelines and high-quality data layers that serve analytics, reporting, and ML/AI workloads.
We’ll trust you to:
- Ingest and model data from APIs, files/SFTP, and relational sources; implement layered architectures (raw/clean/serving) using PySpark/SQL and dbt, Python.
- Design and operate pipelines with Prefect (or Airflow), including scheduling, retries, parameterization, SLAs, and well‑documented runbooks.
- Build on cloud data platforms, leveraging S3/ADLS/GCS for storage and a Spark platform (e.g., Databricks or equivalent) for compute; manage jobs, secrets, and access.
- Publish governed data services and manage their lifecycle with Azure API Management (APIM) — authentication/authorization, policies, versioning, quotas, and monitoring.
- Enforce data quality and governance through data contracts, validations/tests, lineage, observability, and proactive alerting.
- Optimize performance and cost via partitioning, clustering, query tuning, job sizing, and workload management.
- Uphold security and compliance (e.g., PII handling, encryption, masking) in line with firm standards.
- Collaborate with stakeholders (analytics, AI engineering, and business teams) to translate requirements into reliable, production‑ready datasets.
- Enable AI/LLM use cases by packaging datasets and metadata for downstream consumption, integrating via Model Context Protocol (MCP) where appropriate.
- Continuously improve platform reliability and developer productivity by automating routine tasks, reducing technical debt, and maintaining clear documentation.
You’ll need to have:
- Bachelor’s or advanced degree in Computer Science, Data Engineering, or a related field.
- 4–15 years of professional data engineering experience.
- Strong Python, SQL, and Spark (PySpark) skills, and/or Kafka
- Hands-on experience building ETL/ELT with Prefect (or Airflow), dbt, Spark, and/or Kafka.
- Experience onboarding datasets to cloud data platforms (storage, compute, security, governance).
- Familiarity with Azure/AWS/GCP data services (e.g., S3/ADLS/GCS; Redshift/BigQuery; Glue/ADF).
- Git-based workflows CI/CD and containerization with Docker (Kubernetes a plus).
It is a bonus to have:
- Snowflake (Snowpipe, Tasks, Streams) as a complementary warehouse.
- Databricks (Delta formats, workflows, cataloging) or equivalent Spark platforms.
- Advanced APIM practices (custom policies, OAuth2/JWT, mTLS, private endpoints) and Azure AD integration.
- Integrating datasets into MCP tools/providers for LLM/agent applications; familiarity with frameworks such as LangChain or LlamaIndex.
- Data observability/quality tools (e.g., Great Expectations, Monte Carlo, Datafold) and strong lineage practices.
- Exposure to financial datasets and controls (PII handling, encryption, masking).
What we offer:
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 $140,000 – $180,000 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, 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.
Does this sound like you?
Apply! We'll get in touch and let you know the next steps.
Representation at Lazard
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.
