Apply Now

Senior Data Engineer

• Posted 1 day ago • Updated 14 hours ago

Full Time

On-site

Fitment

Dice Job Match Score™

👾 Reticulating splines...

Job Details

Skills

Pivotal
Decision-making
Operational Efficiency
Collaboration
Extract
Transform
Load
ELT
Data Migration
Legacy Systems
Data Structure
Oracle Management Server
EMS
Element Management System
Management Reporting
Customer Master Data
Data Governance
Equities
Trading
Account Management
Order Management
Data Flow
Reporting
Profit And Loss
Legal
Mapping
LEI
DTCC
Financial Information eXchange
IDS
Data Engineering
Financial Services
Python
Java
SQL
Management
Salesforce.com
Data Modeling
Normalization
Front Office
Finance
Regulatory Compliance
Artificial Intelligence
Machine Learning (ML)
Workflow
Analytics
Cloud Computing
Fixed Income
Brokerage
Customer Relationship Management (CRM)
Orchestration

Summary

{"description": " Job Description

The Senior Data Engineer will play a pivotal role in architecting and implementing data solutions for Cantor Fitzgerald's Technology Markets division. This role demands a deep understanding of financial services data, particularly in Equities Trading and Broker-Dealer Operations, to drive data-driven decision-making and operational efficiency. The successful candidate will collaborate closely with CRM product owners and front-office stakeholders to translate complex business workflows into robust data structures, ensuring accurate revenue tracking and attribution across coverage teams and products.

Responsibilities

Architect and build ETL/ELT pipelines for CRM data migration, cleansing, and normalization, resolving entity conflicts across legacy systems.
Define canonical data models for client hierarchies, account structures, and relationship ownership, ensuring consistency across business lines.
Address entity resolution challenges, including duplicate client records and mismatched account IDs, for accurate data representation.
Translate business workflows into data structures that reflect actual coverage team operations, collaborating closely with front-office stakeholders.
Design and maintain revenue tracking data models, including trading commissions, advisory fees, and relationship-attributed P&L, ensuring accurate attribution.
Build attribution logic to allocate revenue across coverage teams, products, client accounts, and booking entities, considering commission sharing and soft dollar arrangements.
Ensure accurate reconciliation between front-office OMS/EMS data, finance ledgers, and CRM-reported metrics for management reporting.
Standardize client master data across Equities and adjacent product lines, applying consistent hierarchy models and industry-standard identifiers.
Partner with Compliance, Operations, and Front Office to maintain data governance standards and support downstream reporting and compliance.

Qualifications

Deep understanding of financial services data, particularly in Equities Trading, Broker-Dealer Operations, or Client/Account Management.
Familiarity with trade lifecycle data, order management, execution, settlement, and data flow into downstream reporting and P&L systems.
Working knowledge of client and account hierarchy models, legal entity structures, account types, and sub-accounts, and their mapping to coverage and revenue attribution.
Understanding of sell-side revenue tracking and attribution, including commissions, advisory fees, and reconciliation challenges between front-office and finance systems.
Familiarity with counterparty and client identifier standards, such as LEI, DTCC, and FIX protocol client IDs.
5-8 years of hands-on data engineering experience, with at least 3 years in financial services, and expertise in Python, Java, and SQL.
Direct experience with Salesforce CRM, including data model, APIs, and integration patterns, and proven experience with data normalization and entity resolution.
Comfortable working directly with stakeholders across Front Office, Finance, Compliance, and Operations, and able to drive independent deliverables in a fast-paced environment.
Preferred: Hands-on experience with AI/ML tools for data workflow automation and self-service analytics, and exposure to Cloud data platforms and industry data standards.
Experience with Fixed Income, Prime Brokerage, or multi-asset CRM data, and orchestration/transformation tools like dbt or Airflow, is an advantage.

", "salary_raw": null}

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 90922487
Position Id: 24203970
Posted 1 day ago

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

Senior Data Engineer

New York, New York

•

Today

THE POSITIONOur roster has an opening with your name on it We are looking for a Senior Data Engineer to design and build scalable, reliable, and high-quality data solutions that power analytics, machine learning, and business operations. You'll be a hands-on contributor who plays a key role in shaping the technical foundation of our data ecosystem. As a senior member of the team, you'll work closely with engineers, analysts, product managers, and data scientists to deliver data pipelines and p

Full-time

USD 138,000.00 - 181,650.00 per year

Senior Data Engineer

New York, New York

•

Today

{"description": " THE POSITION Our roster has an opening with your name on it We are looking for a Senior Data Engineer to design and build scalable, reliable, and high-quality data solutions that power analytics, machine learning, and business operations. You'll be a hands-on contributor who plays a key role in shaping the technical foundation of our data ecosystem. As a senior member of the team, you'll work closely with engineers, analysts, product managers, and data scientists to deliver dat

Full-time

USD 138,000.00 - 181,650.00 per year

Senior Lead Software Engineer - Data Software Engineering | Workforce and Experience Technology (WXT)

New York, New York

•

Today

Job Description Elevate and drive innovation, data engineering solutions, and serve as a decision maker for Firmwide HR and Employee Experience data products. As a Senior Lead Software Engineering at JPMorgan Chase within the Employee Platforms, Workforce Experience Technology (WxT) Data and Integrations team, you lead data engineering and drive impact within teams, technologies, and data product offerings across HR, Employee Experience, CAO and EP technology. Utilize your in-depth engineering

Full-time

USD 171,000.00 - 260,000.00 per year

Data Engineer, Vice President

Remote or Jersey City, New Jersey

•

Today

Senior data engineering role delivering large-scale data integration solutions across CRM ecosystems using ETL tooling, Python automation, and advanced SQL/NoSQL capabilities. Position Summary: The Vice President, Technology (Data Engineer) will lead the design and delivery of enterprise-grade data integration solutions supporting CRM and Analytics platforms. This role requires deep hands-on expertise in ETL/ELT engineering, Python scripting for automation and data loads, and exceptional profi

Full-time

USD 142,320.00 - 213,480.00 per year

Search all similar jobs