Home › Companies › Hdow Fa Us6 Oraclecloud Com CX 1003 › Senior Data Engineer
Senior Data Engineer
Hdow Fa Us6 Oraclecloud Com CX 1003 · NY, United States; 110 East 59th Street, New York, NY, US · Active · Oracle Recruiting Cloud / Fusion HCM
Job facts
| Field | Value |
|---|---|
| Company | Hdow Fa Us6 Oraclecloud Com CX 1003 |
| Title | Senior Data Engineer |
| Normalized title | - |
| Department / team | - |
| Location | NY, United States |
| Work model | - |
| Employment type | Full Time |
| Salary | - |
| Status | active |
| ATS provider | Oracle Recruiting Cloud / Fusion HCM |
| Posted / first seen | 2026-05-01 / 2026-05-31 |
| Changed / last seen | 2026-05-31 / 2026-06-22 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Hdow Fa Us6 Oraclecloud Com CX 1003. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Oracle Recruiting Cloud / Fusion HCM. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Hdow Fa Us6 Oraclecloud Com CX 1003 |
| Source | 38747b70-9453-4d22-b36e-38a495601a77 |
| ATS provider | Oracle Recruiting Cloud / Fusion HCM |
Description
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.
Full job record
| Job ID | a0e3c936feea24630f0c1ab48f1cee7f082f6946 |
| Org ID | 043f4d1c-1d7b-417a-8877-f654f88d55c4 |
| Source ID | 38747b70-9453-4d22-b36e-38a495601a77 |
| Board ID | 38747b70-9453-4d22-b36e-38a495601a77 |
| Provider | oracle_hcm |
| Provider Job Key | 248333 |
| Title | Senior Data Engineer |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | NY, United States; 110 East 59th Street, New York, NY, US |
| Department | — |
| Team | — |
| Employment Type | full_time |
| Workplace Type | — |
| Remote Policy | — |
| Country | United States |
| Region | NY |
| City | — |
| Salary Raw | 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 Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://hdow.fa.us6.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1003/job/248333 |
| Apply URL | https://hdow.fa.us6.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1003/job/248333 |
| First Seen At | 2026-05-31 18:00:06Z |
| Last Seen At | 2026-06-22 14:58:10Z |
| Last Checked At | 2026-06-22 14:58:10Z |
| Last Changed At | 2026-05-31 18:00:06Z |
| Inactive At | — |
| Source Posted At | 2026-05-01 08:57:07Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=oracle_hcm/board=hdow.fa.us6.oraclecloud.com|CX_1003/date=2026-06-22/2026-06-22T14-58-04-520Z-e09da4fd9f54573e924b6eee1e24546c293b7cb831d8c25d08e7bd6d18f9fef3.json |
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