> Markdown version of [/jobs/ext/879186-enterprise-data-management-edm-developer](https://www.wearedevelopers.com/jobs/ext/879186-enterprise-data-management-edm-developer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Enterprise Data Management (EDM Developer)

- **Company:** FDM Group Limited
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Contract:** Temporary contract
- **Skills:** Airflow, Amazon Web Services, Microsoft Azure, Information Engineering, Data Governance, Extract Transform Load (ETL), Operational Databases, Reference Data, Cloud Services, DataOps, SQL Databases, Workflow Management Systems, Enterprise Data Management, Snowflake, Data Strategy, Information Technology, Data Management
- **Published:** June 2, 2026
- **Apply:** https://www.dice.com/job-detail/f29bc63c-dc5c-4c0d-b939-f4f2b4796e49

## About the Role

We are seeking a skilled developer to join the clients Data Governance Technology & Master Data Management team. In this role, you will design, develop, and optimize components of our enterprise mastering platform - driving data quality, consistency, and operational efficiency across the firm, with a primary focus on security reference data spanning multiple asset classes.

This is an opportunity for a technically proficient and self-motivated professional to make a meaningful impact on Clients data strategy - deepening expertise across governance frameworks, matching and survivorship logic, workflow automation, and vendor integration while working at the intersection of technology and investment operations., * 5+ years of experience in data engineering, data mastering or MDM-focused roles within financial services or asset management

 * Hands-on experience with MarkitEDM or equivalent platforms
 * Strong understanding of security reference and pricing data - including identifiers, corporate actions, asset classifications, and multi-vendor data sourcing

 * Bachelor's degree in Computer Science, Engineering, or a related field is required
 * Proficiency in SQL, data modeling and ETL processes

 * Familiarity with data quality frameworks, exception management workflows, and SLA-driven data operations

 * Understanding of the financial services and asset management industry
 * Ability to work collaboratively within a team-oriented environment

 * Strong communication skills to engage effectively across technical and business teams

 * Demonstrated ability to troubleshoot and solve technical challenges independently
 * Exposure to cloud data platforms (Snowflake, Azure, AWS) or orchestration tools (Airflow, dbt) is a plus

 * Desire to stay up to date with emerging technologies and contribute to the firm's data innovation

## Description

* Design, develop, and maintain data mastering workflows using MarkitEDM or equivalent enterprise data management platforms
 * Support end-to-end mastering logic for security reference data - including equities, fixed income, derivatives, and structured products - across multiple upstream vendor feeds
 * Build and optimize data quality rules, survivorship logic, and golden record frameworks to ensure downstream data consumers receive clean, trusted data
 * Integrate with industry data vendors (Bloomberg, ICE, etc.) and map vendor schemas to internal data models
 * Troubleshoot production data issues, perform root cause analysis, and implement sustainable fixes with minimal business disruption
 * Perform ad-hoc data analysis and communicate findings clearly to technical and non-technical stakeholders
 * Collaborate with Data Governance, Front Office Technology, and Operations teams to define mastering rules, resolve data conflicts, and onboard new data domains

 * Contribute actively to team objectives in a collaborative, outcomes-driven environment


## Related Videos

- [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works)
- [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering)
- [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team)
- [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt)
- [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment)
- [Hacking AI at the Edge of the Indian Ocean](https://www.wearedevelopers.com/videos/100177-hacking-ai-at-the-edge-of-the-indian-ocean)

## Related Articles

- [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)
- [Why Event-Driven Architecture Isn’t About Speed (and When You Actually Need It)](https://www.wearedevelopers.com/magazine/745-why-event-driven-architecture-isn-t-about-speed-and-when-you-actually-need-it)
- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)
- [Where To Find Software Engineering Jobs](https://www.wearedevelopers.com/magazine/396-where-to-find-software-engineering-jobs)
- [The Biggest German Tech Companies](https://www.wearedevelopers.com/magazine/424-the-biggest-german-tech-companies)
- [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)