Data Architect
4 months ago
**Key Responsibilities**:
- **Design Data Architecture**: Develop and maintain an optimal data architecture blueprint that supports our organization's business needs, scalability, and performance requirements.
- **Data Modeling**: Design and implement logical and physical data models that translate business requirements into data solutions. Ensure data models are scalable, flexible, and adhere to best practices.
- **Data Integration**: Oversee the integration of data from various sources, ensuring data quality, consistency, and integrity throughout the process. Design and implement ETL processes as needed.
- **Database Management**: Manage and optimize database systems (SQL, NoSQL, etc.) to ensure efficient data storage, retrieval, and performance. Implement security measures to protect sensitive data.
- **Data Governance and Compliance**: Establish data governance policies and procedures to ensure data quality, privacy, and regulatory compliance. Work with legal and compliance teams to adhere to relevant regulations (e.g., GDPR, CCPA).
- **Collaboration**: Work closely with cross-functional teams, including engineering, data science, and business stakeholders, to understand requirements, provide guidance, and support data-related initiatives.
- **Documentation and Training**: Document data architecture designs, standards, and processes. Provide training and support to internal teams on data-related tools and processes.
**Qualifications**:
- Bachelor's degree in Computer Science, Information Systems, or a related field. Master's degree preferred.
- years of experience in data architecture, database design, and data management.
- Strong expertise in data modeling techniques, including conceptual, logical, and physical data models.
- Proficiency in SQL and experience with relational databases (e.g., MySQL, PostgreSQL).
- Experience with data integration tools and technologies (e.g., ETL, ELT).
- Familiarity with cloud-based data platforms (e.g., AWS, Azure, Google Cloud).
- Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.
- Strong problem-solving and analytical skills, with a keen attention to detail.
- Experience with data governance, compliance, and security practices is a plus.
- Relevant certifications (e.g., Certified Data Management Professional) are desirabl
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