Data Modeling Senior Associate
About The Position
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. As a Senior Data Architect, you will play a key role in shaping DTCC's enterprise data ecosystem by designing scalable, high-quality data models that power critical business intelligence, analytics, regulatory reporting, and operational decision-making. You will serve as a trusted advisor to business, product, analytics, and technology teams, translating complex business requirements into robust data solutions while driving data quality, governance, and consistency across enterprise platforms. This role provides the opportunity to lead the design and evolution of enterprise-scale Snowflake data warehouses while influencing data architecture standards, governance practices, and DTCC's long-term data modernization strategy supporting mission-critical financial markets infrastructure.
Requirements
- Bachelor's degree in Computer Science, Information Systems, or equivalent practical experience.
- 7+ years of experience delivering enterprise data architecture, data modeling, and data management solutions.
- 5+ years of hands-on experience designing logical, physical, and dimensional data models.
- Expert-level proficiency with Erwin Data Modeler.
- Extensive experience designing, implementing, and optimizing enterprise-scale Snowflake data models and data warehouse solutions.
- Deep understanding of data warehousing concepts, dimensional modeling, and modern analytical architectures.
- Expertise in normalization, Kimball methodology, semantic modeling, and data governance best practices.
- Experience managing model evolution, schema changes, column deprecation, data lineage, metadata management, and stakeholder alignment.
- Experience supporting enterprise data products, analytics platforms, and large-scale reporting ecosystems.
- Advanced SQL skills with strong data profiling, analysis, and troubleshooting capabilities.
- Experience working with cloud-based data platforms and modern data architectures.
- Strong understanding of data governance, master/reference data management, data quality frameworks, and metadata management best practices.
- Experience creating source-to-target mappings and maintaining end-to-end data lineage documentation.
- Experience with Agile delivery methodologies and distributed architecture teams.
- Strong stakeholder management, communication, and relationship-building skills.
- Ability to influence cross-functional teams and drive alignment across business and technology organizations.
- Experience leading architecture reviews and promoting enterprise modeling standards and best practices.
Nice To Haves
- Financial Services, Capital Markets, Clearing, Settlement, or Risk Management industry experience.
- Knowledge of post-trade processing and securities lifecycle data.
- Experience with data profiling, data quality, or metadata management tools.
- TOGAF or other data architecture certifications.
- Experience supporting enterprise-scale analytics and data product initiatives.
Responsibilities
- Translate business requirements, BRDs, and Agile user stories into scalable logical, physical, and dimensional data models.
- Design, implement, and optimize enterprise-scale Snowflake data models supporting analytics, reporting, regulatory, and data product initiatives.
- Profile and analyze source system data using advanced SQL techniques to validate business requirements, identify data quality issues, and uncover data insights.
- Create and maintain source-to-target mappings, data lineage documentation, metadata artifacts, and governance deliverables.
- Apply data modeling best practices including normalization, dimensional modeling, semantic modeling, and Kimball methodology.
- Partner with business stakeholders, product teams, data engineers, architects, and analytics teams to align data solutions with enterprise objectives.
- Drive data model governance, standards, consistency, and model lifecycle management including schema evolution, refactoring, and metadata management.
- Lead architecture reviews and facilitate model walkthroughs with technical and non-technical stakeholders.
- Support enterprise data modernization, cloud transformation, and strategic data platform initiatives.
- Influence and promote enterprise-wide data architecture standards, patterns, and best practices.
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.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
