Data Architect
hace 6 días
Job Description
A Data Architect at CEMEX designs and implements end-to-end data architecture solutions that align with the company's business goals. Their responsibilities include determining strategic data requirements, creating high-level designs, and ensuring data integrity and security.
They are responsible for designing data solutions, analyzing structural requirements, migrating data, and designing conceptual and logical data models, mainly on cloud solutions.
A Data Architect must have expertise in managing databases, including selecting appropriate database systems, optimizing performance, and ensuring data integrity.
Main Responsibilities
- Data Modeling: Designing and creating data models to represent business requirements and ensure efficient data storage and retrieval.
- Database Management: Managing databases, including selecting database systems, optimizing performance, and ensuring data integrity.
- ETL (Extract, Transform, Load): Knowledge of ETL processes to extract data from various sources, transform it, and load it into data warehouses or other storage systems.
- Cloud Platforms: Experience with cloud platforms and understanding of cloud-based data solutions.
- Programming Languages: Proficiency in languages like SQL, Python, or Java for data manipulation, scripting, and automation.
- Data Governance and Security: Understanding of data governance practices, privacy regulations, and security measures to protect sensitive information.
- Business Acumen: Ability to align data architecture with business goals, communicate effectively with stakeholders, and translate business requirements into technical solutions.
Position Challenges
- Manage and coordinate teams from different countries, cultures, backgrounds, and expectations.
- Maintain a constantly evolving data architecture.
Qualifications
- Fluent English.
- Academic Background: Computer Science, Information Systems, or similar.
- +1 year of experience in data architecture or similar.
- Basic knowledge and experience in data architecture.
- Areas of expertise: Data Driven, Process & IT, Analytics, Digital tools.
- Technical skills essential for this role include proficiency in software for data collection and presentation, SQL, Python, or Java for data manipulation, and ability to articulate data-driven decisions.
- Soft Skills: Self-motivated, highly engaged, problem-solving, motivated for digital technology, managing uncertainty, critical thinking, time management of projects and relationships.
Internal/External Relations
INTERNAL
- Data Business Area Teams.
- Regional and country Data Teams.
- Global IT team.
- Global Data Science.
EXTERNAL
- Suppliers supporting projects and some commercial partners such as Neoris and IBM.
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