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Data Architect Lead

Information Systems
WD30104564329 Requisition #
What you will do

The future is being built today, and Johnson Controls is making that future more productive, secure and sustainable. We are harnessing the power of cloud, data analytics, the Internet of Things, and user design thinking to deliver on the promise of intelligent buildings and smart cities that connect communities in ways that make people’s lives – and the world – better & safer.

Data & Analytics CoE is a diverse team of technology enthusiast enabling our global business. JCI has embarked on a Data strategy that focuses on establishing strong technology CoE, enterprise data management & cloud based business solutions.

Data Architect (business data models, data privacy, and enterprise data management) is an integral part of Data Architecture team. This role will be based out of Cork, IRE, reporting into Analytics CoE Leader.

Assess organization's 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 our JCI standards
Accountable for a team of data modelers

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 Masters in Software Engineering / Computer Science or an equivalent discipline
8 – 12 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 Hadoop, MPP Data platform, Azure Data Factory, Azure HDI, Power BI and Open source technologies
Superior documentation and communications skills
Proven ability to lead & coach diverse teams of data modelers located globally

Technology Requirement

ERWIN: develop, enrich and maintain logical & physical data models
Meta data management tools (Waterline, Azure Purview)
Azure HDInsight, Synapse Analytics, Access and Security Management
DevOps: GitHub, Azure DevOps
ETL/ELT Framework design and implementation
Object Oriented Programing skills using Java, Python, and .Net

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
o Ability to work with global distributed tests

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