Job Title:

Data Architect

Job Description

Key Responsibilities:

Data Architecture Design:
Develop and maintain an enterprise-wide data architecture, aligning with business goals and IT strategies. Design efficient database solutions to store and retrieve data securely.Data Modeling & Database Design:
Create and optimize data models (conceptual, logical, and physical) for both transactional and analytical systems. Ensure data accuracy, consistency, and scalability across systems.Data Integration & ETL Processes:
Define and implement data integration strategies, including ETL processes to extract, transform, and load data from various sources into centralized databases or data lakes.Data Governance:
Establish and enforce data management policies, including data quality, security, and privacy standards. Ensure compliance with relevant data regulations (GDPR, CCPA, etc.).Collaboration with Stakeholders:
Work closely with business analysts, data engineers, data scientists, and other stakeholders to translate business requirements into data architecture solutions. Provide guidance on data-related technical issues and best practices.Technology Evaluation:
Evaluate and recommend appropriate database and data storage technologies, ensuring they align with organizational needs. Stay current with emerging trends in data architecture and big data technologies.Data Security & Privacy:
Design and implement secure data management systems that ensure data integrity, confidentiality, and protection against unauthorized access.Performance Optimization:
Monitor and optimize the performance of data systems, identifying areas for improvement and ensuring systems meet performance requirements.Documentation & Standards:
Maintain thorough documentation of data architecture designs, models, and processes. Define and enforce data standards and best practices across the organization.

Requirements:

Education:
Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Science, or a related field.Experience:Minimum of 5 years of experience in data architecture, database design, or data engineering roles.Proven experience with data modeling, database management systems (RDBMS, NoSQL), and data warehousing solutions.Skills & Expertise:Expertise in data modeling techniques (ERD, UML) and data management tools (e.g., ER/Studio, Erwin).Hands-on experience with cloud platforms and cloud-native database services.Proficiency with SQL, NoSQL, and data integration technologies (ETL tools, APIs).Knowledge of big data technologies (Hadoop, Spark, Kafka) is a plus.Strong understanding of data governance frameworks and best practices.Familiarity with BI tools (e.g., Power BI, Tableau) and data analytics frameworks.Preferred Qualifications:Experience with machine learning models and AI-driven data platforms.Certification in cloud-based data services (e.g., AWS Certified Data Analytics, Microsoft Azure Data Engineer).

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Location:

MEX Work-at-Home

Language Requirements:

Time Type:

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