DATA ARCHITECT & MODELER

• Design and deliver a robust data architecture that enforces best practices, policies, and procedures across the data landscape.
• Create ER, Logical, Physical, and Conceptual data models for the enterprise using tools such as Erwin.
• Facilitate data modeling sessions with various stakeholders to assess business requirements and deliver design prototypes and models.
• Drive reuse of data and establish standards to maintain a single version of truth.
• Utilize modern data design methodologies such as Domain Driven Design and Microservices Based Architecture.
• Perform data analysis and profiling in the financial services industry, including account, card, payment, or digital processing.
• Develop highly performant physical data models using technologies such as MongoDB, Oracle EXADATA, and Snowflake.
• Design complex dashboards in Power BI and analyze data using Excel and Splunk.
• Utilize scripting languages such as Python to automate data governance and build data pipelines.
• Maintain a comprehensive Data Catalogue with robust metadata and lineage.

This position is for a Senior Data Architect & Modeler who will be responsible for designing and implementing data architecture solutions for an enterprise. The ideal candidate will have extensive experience in data modeling, data analysis, and data governance in the financial services industry., * Communication skills

• Banking industry knowledge
• Dashboard design
• Data analysis
• Data architecture
• Data flow analysis
• Data governance
• Meta-data management
• Experience with IBM tools
• Knowledge of ISO 9000 standards
• Building interfaces between systems
• Macros development
• Experience with Domain-driven Design
• Finance industry experience
• Experience in Financial Services
• Understanding of Microservices architecture
• Data modeling expertise
• Data warehouse design
• Database management
• Experience with ERwin
• Knowledge of policies and procedures
• Network architecture knowledge
• Experience with Oracle Exadata
• Performance tuning skills
• Proficiency in Microsoft Power BI
• Proficiency in Microsoft Excel and PowerPoint
• Experience with MongoDB
• Prototyping skills
• Real-time data analysis experience
• SQL proficiency
• Experience with Snap Logic
• Knowledge of Snow Flake Schema
• Experience with Splunk
• Development of stored procedures
• Python scripting skills
• Understanding of scalability in data architecture
• Experience in Systems Analysis and design
• Excellent writing skills

Preferred Skills:

• Experience with industry reference frameworks such as BIAN, IBM Banking & Financial Markets Model, ISO20022
• Knowledge of tools such as Matillion, SnapLogic, or DBT
• Experience with data catalog tools like Alation or Collibra