Principal Engineer, Digital Innovation

Job Overview 综述

Celanese is seeking a highly skilled and experienced Principal Data Architect to drive data-led transformation. The ideal candidate will design conceptual, logical, and physical data models, ensuring they are reusable, easily understood, and future-proof. This role demands a deep understanding of business processes, data platform architecture, and data governance principles. Join our team to shape the future of data products, supporting strategic initiatives and enhancing data-driven decision-making across the organization. If you are passionate about creating robust data solutions and driving innovation, we invite you to apply.

Data Modeling

Responsibilities 职责:

Design and develop conceptual, logical, and physical data models.Ensure data models support business processes efficiently and are adaptable to future changes.

Business Process Understanding

Collaborate with stakeholders to gather and understand business requirements.Translate business requirements into technical specifications and data models.

Data Platform Architecture

Optimize data integration, storage, and retrieval processes.Partner with Data Engineering to develop and maintain ETL processes.

Data Governance

Partner with Data Governance to implement data governance principles to ensure data quality, consistency, and compliance.Develop and enforce policies and procedures for data management and usage.

Collaboration And Communication

Work closely with cross-functional teams to ensure alignment of data architecture with business goals.Communicate complex technical concepts to non-technical stakeholders effectively.Support and Mentor Data Engineering and Data Governance team members

Strategic Planning

Partner with leadership teams to design, develop, and implement organizational data strategy that aligns with business processes.Identify internal and external data sources to develop an effective data management system.

Technical Leadership

Partner with Platform Engineering on all aspects of data architecture including platform evaluation, technical design, and application development.Utilize data modeling tools and programming languages to test and troubleshoot data structure applications and systems.Conduct continuous audits and performance measurements of database management.

Security And Compliance

Integrate technical data functionalities that ensure data accessibility, security, and accuracy.Ensure compliance with regulatory and safety standards, securing data from potential threats.

Documentation

Document data pipeline processes for metadata and data cases.Define and manage data flow and dissemination within the organization.

Qualifications 要求

Education and Experience:

Bachelor's or Master's degree in Computer Science, Information Technology, or related field.Minimum of 8 years of experience in database administration, systems engineering, and administration.Proven experience in at least one full implementation of data architecture solutions.

Technical Skills

Expertise in data modeling, database management systems, data warehouses, and lakehouses.Proficiency in SQL development and database management.Strong knowledge of data modeling and designing tools such as ER/Studio.Experience with SAP, Salesforce, Informatica, Microsoft Azure, and Snowflake.Familiarity with cloud computing technologies and DevOps practices.Understanding of Generative AI, NLP, text analysis, predictive modeling, and machine learning.Knowledge of big data tools and data analysis techniques.

Methodologies And Best Practices

Understanding of the systems development life cycle, project management techniques, design, and testing procedures.Ability to design and develop data flow structures and data warehouses.Skill in carrying out data security and compliance processes.

Soft Skills

Critical thinking and problem-solving skills.Strong communication skills to effectively interact with cross-functional teams and stakeholders.Proficiency in agile methodologies.

Certifications

Relevant certifications in data architecture, cloud computing, or database management are preferred.

Additional Qualifications

Ability to conduct research and develop strategies for data collection, migration, and retrieval.Understanding of data security measures for data systems.Experience in designing scalable, secure, and high-performance data architecture.