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
