Data Architect Talent Acquisition Company
Data Architect Staffing Agency: Find Top Talent for Your Data Needs
At Tier2Tek Staffing, we excel in Data Architect staffing, connecting you with skilled professionals who design and manage robust data frameworks tailored to your needs. Our approach ensures you find candidates who not only possess the technical expertise but also align with your organizational goals and culture. We thoroughly vet each candidate to ensure they can handle complex data architectures and drive your data strategy forward. By partnering with us, you gain access to top-tier Data Architects who will contribute significantly to your projects and overall business success.
Job Description for Data Architect
About the Role:
The Data Architect is responsible for designing and implementing data solutions to support business objectives. This role involves creating data models, defining data architecture, and ensuring data integrity across various systems.
Key Responsibilities:
- Design and develop scalable and robust data architectures to support business needs.
- Create and maintain data models, including conceptual, logical, and physical models.
- Collaborate with stakeholders to define data requirements and integrate data solutions.
- Ensure data integrity and security by implementing best practices and governance policies.
- Oversee data migration, data warehousing, and ETL processes to ensure efficient data management.
- Provide technical leadership and guidance to development teams on data-related issues.
- Monitor and optimize data performance, troubleshooting and resolving any issues that arise.
Required Skills and Qualifications:
- Bachelor’s degree in Computer Science, Information Systems, or a related field.
- Proven experience as a Data Architect, Data Modeler, or in a similar role.
- Strong knowledge of database management systems, data warehousing, and ETL processes.
- Proficiency in data modeling tools and techniques.
- Experience with SQL and NoSQL databases.
- Understanding of data governance and data quality best practices.
- Excellent problem-solving skills and the ability to work collaboratively with cross-functional teams.
- Strong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.