Data Modeling Senior Associate

The Depository Trust & Clearing Corporation (DTCC); Tampa (FL); Hybrid; USD 140,000 - 210,000; Full time

Benefits offered by this job

Competitive compensation

Comprehensive health and lifeinsurance

Pension / Retirement benefits

Paid Time Off and Personal/Family Care

Hybrid work model: 3 days onsite, 2 at

remote

Job summary

The Depository Trust & Clearing Corporation (DTCC) is seeking a Senior Data Architect to shape our enterprise data ecosystem and deliver scalable data models powering analytics, regulatory reporting, and decision-making. You will lead Snowflake deployments, establish governance standards, and partner with data engineers, product teams, and stakeholders across DTCC’s technology and business landscape.

You will drive data modeling best practices, lifecycle management, and cloud modernization while

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.

Responsibilities

• Translate business requirements into scalable data models and pipelines.
• Design and optimize enterprise Snowflake data models for analytics, reporting, and regulatory needs.
• Profile source data and validate quality using advanced SQL techniques.
• Create source-to-target mappings, data lineage, and metadata artifacts.
• Lead governance efforts for data model standards and lifecycle management.
• Collaborate with stakeholders to align data solutions with business objectives.
• Lead architecture reviews and model walkthroughs with technical and non-technical audiences.
• Support data modernization, cloud transformation, and data platform initiatives.
• Promote enterprise-wide data architecture standards and best practices.

Skills

SQL

Data warehousing

Dimensional modeling

Kimball methodology

Data governance

Metadata management

Cloud data platforms

Stakeholder management

Snowflake modeling

Erwin Data Modeler

Education

Bachelor's degree in CS/IS or equivalent

Tools

Erwin Data Modeler

Snowflake

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 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.

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.