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Title
Text copied to clipboard!Data Architect
Description
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We are looking for a highly skilled Data Architect to join our dynamic team. The ideal candidate will be responsible for designing, creating, deploying, and managing an organization's data architecture. This role requires a deep understanding of data modeling, database design, and data integration. The Data Architect will work closely with various stakeholders, including data scientists, data engineers, and business analysts, to ensure that data solutions meet the needs of the organization. The successful candidate will have a strong background in data management, data warehousing, and data governance. They will also be proficient in various database technologies and have experience with cloud-based data solutions. The Data Architect will play a critical role in ensuring that data is accessible, reliable, and secure. They will also be responsible for developing and implementing data strategies, policies, and procedures. This role requires excellent problem-solving skills, attention to detail, and the ability to work in a fast-paced environment. The ideal candidate will be a self-starter with a passion for data and a commitment to continuous learning and improvement.
Responsibilities
Text copied to clipboard!- Design and implement effective database solutions and models.
- Develop database design and architecture documentation.
- Evaluate and recommend database management systems (DBMS).
- Collaborate with data scientists and data engineers on data initiatives.
- Ensure data solutions are scalable, secure, and meet performance requirements.
- Develop and enforce database development standards.
- Monitor and optimize database performance.
- Implement data governance and data quality standards.
- Manage data integration and data migration projects.
- Provide technical leadership and mentoring to junior team members.
- Stay updated with the latest industry trends and technologies.
- Work with stakeholders to understand data requirements.
- Develop and maintain data models and data dictionaries.
- Ensure compliance with data privacy regulations.
- Create and maintain ETL processes.
- Develop and implement data backup and recovery plans.
- Conduct data architecture reviews and audits.
- Troubleshoot and resolve database issues.
- Participate in disaster recovery planning.
- Develop and maintain documentation for data architecture and processes.
Requirements
Text copied to clipboard!- Bachelor's degree in Computer Science, Information Technology, or related field.
- Proven experience as a Data Architect or similar role.
- Strong knowledge of database management systems (DBMS).
- Experience with data modeling and database design.
- Proficiency in SQL and other database query languages.
- Experience with cloud-based data solutions (e.g., AWS, Azure, Google Cloud).
- Strong understanding of data warehousing and ETL processes.
- Knowledge of data governance and data quality standards.
- Experience with data integration and data migration projects.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration skills.
- Ability to work in a fast-paced environment.
- Attention to detail and commitment to quality.
- Experience with big data technologies (e.g., Hadoop, Spark) is a plus.
- Knowledge of data privacy regulations (e.g., GDPR, CCPA).
- Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.
- Ability to manage multiple projects and priorities.
- Strong organizational and time management skills.
- Self-starter with a passion for data and continuous learning.
- Experience with programming languages (e.g., Python, Java) is a plus.
Potential interview questions
Text copied to clipboard!- Can you describe your experience with data modeling and database design?
- How do you ensure data quality and data governance in your projects?
- What database management systems (DBMS) are you most familiar with?
- Can you provide an example of a data integration or migration project you have worked on?
- How do you stay updated with the latest industry trends and technologies?
- What experience do you have with cloud-based data solutions?
- How do you handle database performance optimization?
- Can you describe a challenging data architecture problem you have solved?
- What is your approach to developing and enforcing database development standards?
- How do you ensure compliance with data privacy regulations?
- What experience do you have with big data technologies?
- How do you collaborate with data scientists and data engineers?
- Can you describe your experience with ETL processes?
- What tools do you use for data visualization?
- How do you manage multiple projects and priorities?
- What programming languages are you proficient in?
- How do you approach disaster recovery planning?
- Can you describe your experience with data backup and recovery plans?
- How do you mentor and provide technical leadership to junior team members?
- What is your approach to troubleshooting and resolving database issues?
