- Data Architecture Design:
- Develop and maintain a comprehensive data architecture that aligns with the organization's strategic goals and business requirements.
- Design scalable and efficient data models to support various data processing and analytics needs.
- Database Management:
- Oversee the implementation and maintenance of databases, ensuring optimal performance, security, and reliability.
- Evaluate and recommend database technologies and tools to support current and future needs.
- Data Integration:
- Design and implement data integration processes to consolidate and streamline data from various sources.
- Collaborate with ETL (Extract, Transform, Load) developers to ensure seamless data flow across systems.
- Data Governance:
- Establish and enforce data governance policies and best practices to ensure data quality, consistency, and compliance with relevant regulations.
- Collaborate with data stewards to define and monitor data quality metrics.
- Collaboration:
- Work closely with cross-functional teams, including data analysts, data scientists, and business stakeholders, to understand their data requirements and provide data solutions accordingly.
- Collaborate with IT and security teams to ensure data privacy and compliance with data protection regulations.
- Performance Optimization:
- Identify and implement performance tuning strategies to enhance the speed and efficiency of data processing and analytics.
- Documentation:
- Maintain comprehensive documentation of data architecture, data flows, and data processes.
- Provide training and documentation to ensure that team members understand and adhere to data architecture best practices.
- Bachelor's or Master s degree in Computer Science, Information Technology, or a related field.
- Proven experience as a Data Architect or in a similar role.
- In-depth knowledge of database management systems, data modeling, and ETL processes.
- Strong expertise in data warehousing concepts and methodologies.
- Experience with both relational and non-relational databases.
- Proficiency in data modeling tools and techniques.
- Excellent communication and collaboration skills.
- Strong problem-solving and analytical skills.
- Certification in Data Architecture or a related field.
- Experience with cloud-based data platforms (e.g., AWS, Azure, Google Cloud).
- Familiarity with big data technologies and distributed computing.
- Knowledge of emerging trends and technologies in data architecture.
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Data Architect - Dallas, United States - Raas Infotek LLC
Description
Job Title - Data Architect
EXP - 10+
Responsibilities:
Qualifications:
Preferred Qualifications: