Principal Data Modeler

Job Description

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:

- The Data Architect (DA) at DTCC will consult with information technology, data analytics, business/ product creation and development staff to craft and implement the blueprint of a database to store information for a specific system that will support the work of the enterprise
- The DA will develop a detailed knowledge of the underlying data as well as business events within the enterprise and become the subject matter expert (SME) on content, current and potential future uses of data, and the quality and interrelationship between core elements of the data repository and data products
- The DA should be able to understand how the information will be gathered, retained and exploited
- Reviewing business requirements and/or conducting in-person interviews, profiling source system data, documentation, analysis, and design of proposed systems
- This role encompasses all aspects of data management; conceptual, logical, and physical data model creation
- The individual will be involved in end-to end data lifecycle management activities; evaluating and recommending new and emerging data management and storage technologies and standards

Your Primary Responsibilities:

- Reviewing Business Requirements Documents (BRDs) and/or User Stories (Agile methodology), translating them into viable conceptual and subsequently, logical data models
- Translate the business requirements into design artifacts, employing the core design principles
- Profiling the data in the source system(s) by writing SQL statements
- Designing logical data models that conform to existing standards and conventions
- Develop mapping documents that demonstrate data lineage
- Revising data dictionaries, governance practices, standards, guidance, architecture patterns
- Converting logical data models into working physical data models and, document and maintain lineage between the two artifacts
- Developing and maintaining reference architecture artifacts
- Conduct weekly walkthroughs of the data models with different collaborators

Talents needed for Success:

- 7-15 years of experience with information technology programs and services, with demonstrated expertise in enterprise data management and related technologies
- 5-15 years of data architecture experience
- Thorough knowledge of Erwin Data Modeler (V9 or higher) or a comparable CASE tool
- Solid understanding of data warehousing concepts and the ability to convert a physical design into a dimensional design
- Knowledge of Agile development methodology and concepts
- Experience working as a member of distributed data architecture teams
- Understanding of information systems and data life-cycle management best practices and methodologies, formal systems engineering life cycle (SELC), and systems development life cycle (SDLC)
- Hands-on SQL experience
- Good understanding of the cloud technology and some of the tools used in that space
- Experience with two or more of the following DBMS technologies: Oracle, PostgreSQL, Snowflake, Microsoft SQL Server
- Effective communication skills and customer relationship management skills
- Thorough knowledge of Microsoft Office suite of products
- Experience with ETL tool(s): (Informatica, DataStage, Talend, etc )
- Experience with Business Intelligence (BI) tools: (i e OBIEE, MicroStrategy, Tableau, Power BI, QuickSight, etc )
- Competency in analytical and problem-solving skills
- Good communication skills