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Title
Text copied to clipboard!Senior Data Architect
Description
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We are looking for a highly skilled and experienced Senior Data Architect to join our dynamic team. The ideal candidate will have a deep understanding of data architecture principles, data modeling, and database design. You will be responsible for designing, creating, deploying, and managing our organization's data architecture. This role requires a strategic thinker who can see the big picture and has the technical skills to implement complex data solutions. You will work closely with various stakeholders, including data scientists, data engineers, and business analysts, to ensure that our data architecture aligns with business goals and objectives. Your primary responsibilities will include developing data models, designing database solutions, and ensuring data quality and security. You will also be responsible for staying up-to-date with the latest industry trends and technologies to ensure that our data architecture remains cutting-edge. The ideal candidate will have excellent problem-solving skills, strong attention to detail, and the ability to work in a fast-paced environment. If you are passionate about data and have a proven track record of designing and managing complex data architectures, we would love to hear from you.
Responsibilities
Text copied to clipboard!- Design and implement complex data architectures.
- Develop and maintain data models and database designs.
- Ensure data quality and security across all data solutions.
- Collaborate with data scientists, data engineers, and business analysts.
- Align data architecture with business goals and objectives.
- Stay up-to-date with industry trends and technologies.
- Optimize database performance and scalability.
- Develop and enforce data governance policies.
- Provide technical guidance and mentorship to junior team members.
- Conduct data architecture reviews and audits.
- Create and maintain documentation for data architecture and solutions.
- Participate in strategic planning and decision-making processes.
- Evaluate and recommend new data technologies and tools.
- Ensure compliance with data privacy regulations.
- Manage data integration and ETL processes.
- Develop disaster recovery and backup plans for data systems.
- Monitor and troubleshoot data-related issues.
- Work with vendors and third-party service providers as needed.
- Conduct training sessions for staff on data-related topics.
- Support data migration and transformation projects.
Requirements
Text copied to clipboard!- Bachelor's or Master's degree in Computer Science, Information Technology, or related field.
- 10+ years of experience in data architecture, data modeling, and database design.
- Strong knowledge of SQL and NoSQL databases.
- Experience with data warehousing and big data technologies.
- Proficiency in data integration and ETL tools.
- Excellent problem-solving and analytical skills.
- Strong attention to detail and accuracy.
- Ability to work in a fast-paced environment.
- Excellent communication and collaboration skills.
- Experience with cloud-based data solutions (e.g., AWS, Azure, Google Cloud).
- Knowledge of data governance and data quality best practices.
- Experience with data privacy regulations (e.g., GDPR, CCPA).
- Proven track record of designing and managing complex data architectures.
- Ability to think strategically and see the big picture.
- Strong project management skills.
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Ability to mentor and guide junior team members.
- Experience with machine learning and AI technologies is a plus.
- Knowledge of programming languages (e.g., Python, Java) is a plus.
- Certifications in data architecture or related fields are a plus.
Potential interview questions
Text copied to clipboard!- Can you describe a complex data architecture project you have worked on?
- How do you ensure data quality and security in your data solutions?
- What experience do you have with cloud-based data solutions?
- How do you stay up-to-date with the latest industry trends and technologies?
- Can you provide an example of how you have aligned data architecture with business goals?
- What tools and technologies do you prefer for data modeling and database design?
- How do you handle data integration and ETL processes?
- What strategies do you use to optimize database performance and scalability?
- How do you approach data governance and compliance with data privacy regulations?
- Can you describe a time when you had to troubleshoot a complex data-related issue?
- How do you mentor and guide junior team members?
- What experience do you have with data warehousing and big data technologies?
- How do you manage data migration and transformation projects?
- What is your approach to disaster recovery and backup plans for data systems?
- How do you collaborate with data scientists, data engineers, and business analysts?
- Can you describe your experience with data visualization tools?
- What programming languages are you proficient in?
- How do you evaluate and recommend new data technologies and tools?
- What certifications do you hold in data architecture or related fields?
- How do you conduct data architecture reviews and audits?