Senior Principal Data Modeler

The Depository Trust & Clearing Corporation (DTCC); Jersey City (NJ); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Base pay & incentive

Health & life insurance

Pension

Paid time off

Hybrid work model

Job summary

DTCC is seeking a Senior Principal Data Modeler to lead enterprise data architecture and modernization efforts. You will shape scalable data models for analytics, regulatory reporting, and risk, partnering with data engineers and governance teams across the organization.

You will drive canonical risk models and real-time analytics, influencing data strategy and ensuring consistency across platforms and products.

Qualifications

• Minimum 10 years of related experience.
• Bachelor's degree preferred or equivalent experience.

Responsibilities

• Establish unified risk data models across NSCC, FICC and DTC.
• Enable real-time risk analytics with event-sourced structures.
• Drive consolidation and standardization of risk data.
• Collaborate with stakeholders to define enterprise data standards.

Skills

Data modeling

Data architecture

Capital markets

Risk data

Event-driven design

Temporal modeling

Modern data platforms

Communication

Education

Bachelor's degree

Tools

Kafka

Iceberg

Delta

Snowflake

Parquet

Job description

Are you ready to make an impact at DTCC? Do you want to work on innovative projects, collaborate with a dynamic and supportive team, and receive investment in your professional development? At DTCC, we are at the forefront of innovation in the financial markets. We are committed to helping our employees grow and succeed. We believe that you have the skills and drive to make a real impact. We foster a thriving internal community and are committed to creating a workplace that looks like the world that we serve.

The Information Technology group delivers secure, reliable technology solutions that enable DTCC to be the trusted infrastructure of the global capital markets. The team delivers high-quality information through activities that include development of essential, building infrastructure capabilities to meet client needs and implementing data standards and governance.

Pay And Benefits

• Competitive compensation, including base pay and annual incentive
• Comprehensive health and life insurance and well-being benefits, based on location
• Pension / Retirement benefits
• Paid Time Off and Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.
• DTCC offers a flexible/hybrid model of 3 days onsite and 2 days remote (onsite Tuesdays, Wednesdays and a third day unique to each team or employee).

The Impact you will have in this role

As a Senior Principal Data Modeler, you will serve as a strategic leader in shaping DTCC's enterprise data architecture and data modernization journey. You will drive the development of scalable, consistent, and business-aligned data models that enable high-quality analytics, regulatory reporting, operational efficiency, and data-driven decision making across the organization. You will collaborate with business stakeholders, data architects, engineering teams, and governance organizations to define enterprise-wide data standards, semantic models, and information architectures that support both current and future business needs. Your leadership will help establish a trusted and integrated data foundation across complex domains, platforms, and products. In this role, you will influence enterprise data strategy, promote data consistency and governance, and advance modernization initiatives spanning cloud data platforms, data products, and advanced analytics capabilities. Your expertise will be instrumental in unlocking the value of DTCC's data assets while improving interoperability, transparency, and scalability across the enterprise.

Your Primary Responsibilities

• Establish a unified risk data model. Define a canonical model for risk data and exposure across NSCC, FICC and DTC to enable consistent cross-CCP risk views.
• Enable real-time, trusted risk analytics. Design event-sourced and bi-temporal structures enable real time computations on the stream and restated accurately when inputs change.
• Drive consolidation and productization of risk data. Provide the target model and standards needed to simplify systems, databases and feeds while making risk data reusable across methodology and delivery teams.

Qualifications

• Minimum of 10 years of related experience
• Bachelor's degree preferred or equivalent experience

Talents Needed For Success

• 7+ years in data modeling and data architecture, including 5+ years in capital markets, clearing, or financial risk, with a demonstrable record as a senior, hands-on individual contributor rather than solely as a manager of modelers.
• Depth across modeling disciplines — conceptual, logical, and physical modeling; normalized and dimensional models; and event-first modeling. You understand which approach is appropriate in each context and can defend the tradeoffs when challenged.
• Risk domain fluency — position keeping, mark-to-market, exposure, margin, and VaR inputs; the full trade lifecycle, including novation, amendment, cancellation, and settlement; and genuine depth in at least one cleared asset class.
• Event-driven data design — Kafka-based architectures, event sourcing, partitioning and keying strategy, schema evolution and registry discipline, and idempotency and replay semantics.
• Temporal modeling depth — bi-temporal design that separates event time from knowledge time, point-in-time reconstruction, restatement and correction handling, and the audit trail expected by controllers and regulators. This is a differentiator, not a nice-to-have.
• Modern data platform experience — lakehouse table formats such as Iceberg or Delta over Parquet; Snowflake; and the partitioning and clustering decisions that determine whether analytical queries perform at production volume.
• Legacy-to-target migration — proven experience moving models off mainframe, monolithic, and database-driven-logic estates incrementally, using dual-run and reconciliation rather than big-bang rewrites.
• Governance and lineage — data quality controls, lineage and traceability, and fluency operating in a regulated environment where the model itself must withstand audit scrutiny.
• Influence without authority — the ability to align architects, delivery squads, and business stakeholders around a shared model, and to maintain standards across teams you do not directly manage. This is the core behavioral requirement of the role.
• Communication range — the ability to move comfortably between a whiteboard discussion with engineers and a steering conversation with executives, clearly explaining why a modeling decision has cost, risk, or delivery implications.

The salary range is indicative for roles at the same level within DTCC across all US locations. Actual salary is determined based on the role, location, individual experience, skills, and other considerations. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.