Data Modeler

• Assess organizations potential data sources (internal & external), develop blueprint to integrate, centralize, protect, and maintain data, thus enabling data models for the enterprise with ability to slice and drill information per Region / BU / LoB
• Work with leadership and stakeholders to define the overall vision, mission, and strategy for business data models that scales up for the enterprise
• Mentor & guide technical project teams based globally on ERWIN & Azure platform components
• Technical leadership role to lead and manage analytics projects to ensure all deliverables meet JCI standards
• This role requires the person to be independently performing his/her job duties without much supervision and coaching

How you will do it

• Work collaboratively with all levels of stakeholders to architect, implement and test Big Data based analytical solution from disparate sources
• Demonstrate an understanding of concepts, best practices, and functions to implement a Big Data solution in an enterprise environment.
• Establish, maintain, and adhere to Enterprise Data Standards & Policies.
• Create and document Logical & Physical Data Models using best practices to ensure high data quality and reduced redundancy.
• Recommend solutions to improve existing functional data models.
• Understand and translate business needs into scalable data models supporting enterprise views
• Optimize and update logical and physical data models to support new and existing projects.
• Maintain conceptual, logical, and physical data models along with corresponding metadata.
• Develop best practices for standard naming conventions and coding practices to ensure consistency of data models.
• Ensure reusability of data models for future business requirements
• Perform reverse engineering of physical data models from databases and SQL scripts.
• Connect with the functional and technical leads when prioritizing the technology initiatives to support analytics

What we look for

• Bachelor of Science degree and/or Master s in software engineering / Computer Science or an equivalent discipline
• 5+ yrs. of hands-on experience using various development methodologies to deliver robust PaaS and DaaS based analytics solutions on Azure data platform
• Proven expertise of ERWIN, Azure data platform, CI/CD
• Strong knowledge of using Snowflake, Hadoop, MPP Data platform, Azure Data Factory, Azure HDI, and Open-source technologies
• Superior documentation and communications skills
• Proven ability to lead & coach diverse teams of data modelers located globally

Technology Requirement

• ERWIN/Other Data Modeling Tools develop, enrich, and maintain logical & physical data models
• Cloud Database experience in Snowflake and/or HIVE
• DevOps GitHub, Azure DevOps
• ETL/ELT Framework design and implementation

Essential Skills

• Strong Leadership, organizational, and prioritization skills
• Excellent written and verbal skills to communicate technical solutions to business teams
• Demonstrated experience leading and influencing individuals and teams without formal organizational control
• Understanding trends, new concepts, industry standards and new technologies in Data and Analytics space
• Ability to work with global distributed teams