Senior Engineer, Digital Innovation

Celanese is seeking a highly skilled Data Engineer to join its Digital Innovation team. This role focuses on delivering cutting-edge data solutions with an emphasis on data architecture, engineering, and cloud-based data services. The ideal candidate will have expertise in Snowflake, Azure Data Factory, and Python, and will play a crucial role in enhancing the company's digital presence and customer engagement.  The role will begin by supporting Chemille, our custom Product Finder application.

• Assist in overall architecture design, performance tuning, cost management, and 
• implementation of data solutions within Azure cloud environments. 
• Implement end-to-end data analytics solutions (from data ingestion through visualization) 
• for large-scale, complex client environments. 
• Define and manage execution from conception to prototyping, testing, deploying, and measuring its overall business value. 
• Look beyond existing methodologies and own discipline to define and resolve complex 
• problems, acting as a subject matter expert in one or more areas of the role. 
• Influence issues that impact design/selling success or address future concepts, products, or
•  
• Create formal networks with key decision-makers involving coordination among groups. 
• Communicate complex technical topics to non-technical business and senior executives and
• assist with scoping, architecting, and selling cloud data solutions. 
• Attend business performance review meetings to help stakeholders explore data and 
• uncover insights. 
• Work autonomously and have decision-making authority on tasks or projects, often acting 
• as a project or program leader.
• Provide guidance on data governance, security, and privacy. 

Required Skills: 

• 3+ years of Data Warehouse architecture and delivery experience. 
• 3+ years of ETL/ELT/Python programming skills, including experience with pipeline orchestration tools, logging, monitoring & alerting, deep troubleshooting, and automated testing & deployments (CI/CD). 
• Proficiency in Cloud Data Warehouse technology like Snowflake. 
• Proficiency in Analytics & ETL tools like Power BI, and Alteryx. 
• Familiarity with SAP ERP, SAP BW, SFDC, Files, etc. data sources. 
• Capability to tie infrastructure and security requirements to data fabric. 
• Demonstrated experience working in all phases of full life cycle data analytics development: Requirements, Architecture, Design, Testing, and Deployment. 
• Ability to collaborate with executives on strategy, project portfolio management, and best practices. 

• Strong presentation skills to author slides and sell technical solutions to clients. 
• Project management skills and ability to multitask, with a track record of meeting complex stakeholder needs under tight timelines. 
• Strong written and verbal communication skills. 

Preferred Additional Skills: 

• Experience with the Microsoft Azure suite of products. 
• Experience in Snowflake, data warehouse in the Cloud. 
• Experience in database automation and ETL script development. 
• Experience with data ingestion pipelines in Python programming language.
• General vector database knowledge.

Required Education & Certifications: 

• B.S. in Data Science, Computer Science, Information Systems, Business, Engineering, or related field. 
• Snowflake – Snowpro Core certification preferred. 
• Analytics tools – Power BI certification is a plus.
• ETL - Alteryx Designer Certified Associate/Professional preferred is a plus.