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Principal Engineer, Digital Innovation

Principal Engineer, Digital Innovation

ConfidentialHyderabad / Secunderabad, Telangana, India
4 days ago
Job description

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.
  • Skills Required

    Salesforce, Sap, Machine Learning, Data Modeling, Informatica, Database Management Systems, Sql Development, Nlp, snowflake , Predictive Modeling, Microsoft Azure, data warehouses , Er Studio

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