Data Modeler

Skills

· Minimum Education: Bachelor’s degree in Business Administration Computer Science or other related fields of study · Minimum 3 years of experience in designing and developing logical and physical data models within a large enterprise preferably in the financial services industry · Proficient skills in data modeling tools such as ER Studio ERwin or PowerDesigner · Proficient skills in Snowflake is preferred · Ability to work autonomously to manage time effectively and prioritize work appropriately to meet deadlines · Excellent problem solving and critical thinking skills · Strong business communication skills; able to write/speak clearly and professionally for a variety of audiences · Working knowledge of Microsoft Office Suite

Description

· With minimal supervision, implement business and IT data requirements through new data strategies and designs across complex data platforms (relational, dimensional, and NoSQL) and data tools (reporting, visualization and analytics).

· Work with business and application/solution/architect teams to implement data strategies, build data flows, and develop conceptual/logical/physical data models

· Collaborate on a day to day basis with business partners, data architects and data engineers to identify, troubleshoot and resolve enterprise data modeling issues

· Design conceptual, logical and physical data models while maintaining a data dictionary and capturing metadata

· Ensure developed data models are easy to use and efficient to access data

· Provide support to business users and the development team in resolving data modeling related issues by performing root-cause analysis, making recommendations and working collaboratively to come up with comprehensive solutions

· Facilitate Joint Application Development (JAD) sessions to determine data rules, hold LDM reviews with Data experts, peer Data Modelers, development teams, and architecture teams.

· Develop data solutions and strategies based on the analysis of business goals, needs, and existing infrastructure using best practice principles, concepts and techniques

· Oversee and govern the expansion of existing data architecture and the optimization of data query performance via best practices

· Work proactively and independently to address project requirements and articulate issues/challenges to reduce project delivery risks

· Guide less experienced Data Modelers on a day to day basis