Job Description

The Impact You Will Have in This Role

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.

Your Primary 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.

Qualifications

• 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.

Talent Needed for Success

Data Architecture & Modeling Expertise

• 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.

Technical Skills

• 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.

Leadership & Collaboration

• 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.

Preferred Qualifications

• 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.

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.

About the Team

Serves as a dedicated technology resource for advancing DTCC's business opportunities and providing industry thought leadership for leveraging new technology. The goal of this new department is to partner internally with IT, our business and regulatory divisions and externally with clients, regulators, and fintech vendors, to help build new platforms and business models to advance DTCC's mission to support the financial markets.