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EXL

MDM Platform Architect

Posted 10 Days Ago
Be an Early Applicant
Remote or Hybrid
Hiring Remotely in United States
140K-160K Annually
Expert/Leader
Remote or Hybrid
Hiring Remotely in United States
140K-160K Annually
Expert/Leader
Designs and leads Security Master, Entity Master, and Reference Data MDM architecture. Responsibilities include data modeling, governance, golden records, match-merge and survivorship workflows, ingestion pipelines, APIs, data quality, lineage, AWS infrastructure, and integration patterns. The role produces architecture documents, leads design reviews, collaborates with technical teams and stakeholders, recommends MDM patterns, and mentors backend and data engineering teams.
The summary above was generated by AI

We are looking for an experienced MDM Architect to design and lead the architecture of a Security Master and Entity Master platform for a leading global credit ratings organization. You will define the end-to-end MDM architecture including data modeling, governance workflows, golden record management, survivorship and integration patterns across enterprise systems. The ideal candidate brings deep knowledge of securities reference data and a strong command of modern data platform technologies.

Responsibilities
  • Define the overall MDM architecture for Security Master, Entity Master, and Reference Data domains — including data model design, hierarchy management, and golden record strategy.

  • Design data ingestion pipelines into the MDM hub using Python/FastAPI-based microservices.

  • Architect match-merge, survivorship, and stewardship workflows for financial instruments (equities, fixed income, derivatives) and legal entities.

  • Define data quality rules, lineage tracking, and audit trails aligned to financial industry standards (FIGI, ISIN, CUSIP, LEI).

  • Drive data model design for Security Master and Entity Master, including partitioning and performance optimization strategies.

  • Architect APIs (RESTful/FastAPI) for downstream consumption by risk, analytics, and reporting systems.

  • Define the AWS infrastructure blueprint — including RDS, S3, ECS/EKS, API Gateway, and IAM — for the MDM platform.

  • Collaborate with Security SME, backend developers, and QA teams to ensure architecture aligns with implementation realities.

  • Establish data governance standards, metadata management policies, and data stewardship processes.

  • Lead architecture review sessions, produce solution design documents (HLD/LLD), and present to client stakeholders.

  • Evaluate and recommend MDM patterns: hub-and-spoke, registry, coexistence, or consolidation — based on use case requirements.

  • Mentor and guide the technical team across backend and data engineering workstreams.

Qualifications
  • End-to-end MDM lifecycle: ingestion, matching, merging, survivorship, stewardship, and distribution.

  • Financial domain expertise: Security Master (equities, fixed income, derivatives), Entity/Counterparty Master, Reference Data.

  • API-first architecture mindset with RESTful design and OpenAPI/Swagger standards.

  • Strong communication skills — able to translate complex architecture concepts to business and technical stakeholders.

  • Ability to lead design discussions and produce clear, actionable architecture artifacts.

  • Bachelor's degree, Information Systems, or related field.

  • 10+ years of overall IT experience with at least 8 years focused on MDM platform design and architecture.

     

    Base Compensation Range: $140,000- $160,000

  • The posted range is the hiring range for this role — a subset of the broader range available to employees over time — and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process.

About Us
EXL (NASDAQ: EXLS) is a leading data analytics and digital operations and solutions company. We partner with clients using a data and AI-led approach to reinvent business models, drive better business outcomes and unlock growth with speed. EXL harnesses the power of data, analytics, AI, and deep industry knowledge to transform operations for the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York and have more than 54,000 employees spanning six continents. For more information, visit www.exlservice.com.


EXL never requires or asks for fees/payments or credit card or bank details during any phase of the recruitment or hiring process and has not authorized any agencies or partners to collect any fee or payment from prospective candidates. EXL will only extend a job offer after a candidate has gone through a formal interview process with members of EXL’s Human Resources team, as well as our hiring managers.
About the TeamEXL is the indispensable partner for leading businesses in data-led industries such as insurance, banking and financial services, healthcare, retail and logistics. We bring a unique combination of data, advanced analytics, digital technology and industry expertise to help our clients turn data into insights, streamline operations, improve customer experience, and transform their business. Our partnerships with clients are built on a foundation of collaboration – and we’ve been chosen as a partner by nine of the top ten leading US insurance companies, nine of the top 20 global banks, and six of the top ten US health care payers. We function as one team to make your goals our goals, whether that’s unlocking the value of generative AI or embedding analytics into workflows that reduce risk or power your growth. Clients choose EXL as their transformation partner for many reasons. Our geographic diversity make talent all over the world instantly accessible. Digital accelerators enable unmatched speed-to-value, letting you realize results fast. It’s our people that truly set us apart, though, including the 1,500 data scientists we have dedicated to our generative AI practice. And our more than twenty years of experience in delivering business services, garnering stellar client references, and maintaining a solid balance sheet are reassuring to our C-suite clients. Find out for yourself why clients, employees, and analysts think we’re some of the best in the business. Contact us to see how we can help you achieve your goals.

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