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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