Data Engineering, Consultant

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   Act as the technical lead for data engineering initiatives. 

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  Design, build, and optimize scalable data pipelines and architectures using enterprise tools and software. 

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  Drive integration of API services and components together with enterprise data platforms for digital applications. 

• Collaborate with internal application teams to align on project deliverables, timelines, integration requirements, and implementation strategies. 

• Ensure adherence to company processes for services and infra provisioning, including user access management and compliance with governance standards. 

• Oversee end-to-end project execution, from design through deployment. 

• Define and establish the Business-As-Usual (BAU) support model post-project implementation. 

• Participate in BAU support activities as needed, ensuring smooth operations and issue resolution. 

• Drive continuous improvement in data engineering practices and operational processes. 
   

• Serve as the primary technical liaison with external vendors, ensuring deliverables meet quality, security, and performance standards. 

• Manage vendor relationships to align with project goals, budgets, and timelines. 

• Communicate effectively with stakeholders across business and technology teams. 

•  Stay current with emerging Data Engineering technologies and assess their applicability to enterprise data solutions. 

• Champion best practices in data engineering, cloud architecture, and AI integration. 

• Contribute to the development of enterprise standards, frameworks, and reusable components.  

• Adhere to company governance processes for Azure service provisioning, access management, and security compliance. 

• Work closely with the Group CCoE and technical counterparts for component provisioning, user access, and platform governance.  

• Notebooks 

• Workflows/Jobs 

• Cluster management 

• Git integration 

5) Lakehouse Architecture