Principal Engineer Digital Ination

Job Description

As a Principal Data Architect at Celanese, you will play a crucial role in driving data-led transformation by designing and implementing conceptual, logical, and physical data models. Your responsibilities will include:- Designing and developing data models that efficiently support business processes and are adaptable to future changes.- Collaborating with stakeholders to gather and translate business requirements into technical specifications and data models.- Optimizing data integration, storage, and retrieval processes and partnering with Data Engineering for ETL process development.- Implementing data governance principles to ensure data quality, consistency, and compliance, as well as developing and enforcing data management policies and procedures.- Working closely with cross-functional teams to align data architecture with business goals and effectively communicate technical concepts to non-technical stakeholders.- Partnering with leadership teams to design and implement organizational data strategy, identify data sources, and provide technical leadership on data architecture aspects.- Ensuring data security, accessibility, and accuracy, as well as compliance with regulatory standards.- Documenting data pipeline processes and managing data flow within the organization.Qualifications required for this role include:Education and Experience:- Bachelors or Masters 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, database management, and data modeling tools such as ER/Studio.- Experience with SAP, Salesforce, Informatica, Microsoft Azure, Snowflake, cloud computing technologies, and DevOps practices.- Understanding of Generative AI, NLP, text analysis, predictive modeling, machine learning, big data tools, and data analysis techniques.Methodologies and Best Practices:- Understanding of systems development life cycle, project management techniques, design, and testing procedures.- Ability to design and develop data flow structures, data warehouses, and carry out data security and compliance processes.Soft Skills:- Critical thinking, problem-solving skills, and strong communication skills.- Proficiency in agile methodologies.Certifications:- Relevant certifications in data architecture, cloud computing, or database management are preferred.Additional Qualifications:- Ability to conduct research, develop strategies for data collection, migration, and retrieval.- Understanding of data security measures, experience in designing scalable, secure, and high-performance data architecture. As a Principal Data Architect at Celanese, you will play a crucial role in driving data-led transformation by designing and implementing conceptual, logical, and physical data models. Your responsibilities will include:- Designing and developing data models that efficiently support business processes and are adaptable to future changes.- Collaborating with stakeholders to gather and translate business requirements into technical specifications and data models.- Optimizing data integration, storage, and retrieval processes and partnering with Data Engineering for ETL process development.- Implementing data governance principles to ensure data quality, consistency, and compliance, as well as developing and enforcing data management policies and procedures.- Working closely with cross-functional teams to align data architecture with business goals and effectively communicate technical concepts to non-technical stakeholders.- Partnering with leadership teams to design and implement organizational data strategy, identify data sources, and provide technical leadership on data architecture aspects.- Ensuring data security, accessibility, and accuracy, as well as compliance with regulatory standards.- Documenting data pipeline processes and managing data flow within the organization.Qualifications required for this role include:Education and Experience:- Bachelors or Masters 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, database management, and data modeling tools such as ER/Studio.- Experience with SAP, Salesforce, Informatica, Microsoft Azure, Snowflake, cloud computing technologies, and DevOps practices.- Understanding of Generative AI, NLP, text analysis, predictive modeling, ma

Keyskills :
Data ModelingData GovernanceStrategic PlanningTechnical LeadershipDocumentationSQL DevelopmentDatabase ManagementSAPSalesforceInformaticaMicrosoft AzureSnowflakeNLPPredictive ModelingMachine LearningAgile MethodologiesBusiness Process Unde