Join our team as a Data Architect and be a part of a growing organization that values innovation, collaboration, and continuous learning.
Job Title: Data Architect
Position Overview: We are seeking a highly skilled and experienced Data Architect to join our dynamic team. As a Data Architect, you will play a critical role in designing, implementing, and maintaining our company's data architecture. You will work closely with cross-functional teams to ensure that our data infrastructure meets the current and future needs of the organization.
Key Responsibilities:
- Design and develop data architecture strategies to meet business requirements.
- Collaborate with stakeholders to understand data needs, identify data sources, and define data integration requirements.
- Develop and maintain data models, data dictionaries, and data flow diagrams.
- Create and maintain logical and physical data models for various business applications.
- Design and implement data warehouse models for reporting and analytics purposes.
- Develop data governance policies and procedures to ensure data accuracy, consistency, and security.
- Perform data profiling, data cleansing, and data quality checks.
- Ensure data integrity and accuracy by implementing data validation and data quality rules.
- Identify and resolve data-related issues and provide recommendations for improving data processes.
- Stay updated with the latest technology trends and tools in data management to improve data architecture.
- Collaborate with data engineers to design and implement data pipelines for data ingestion and processing.
- Communicate complex technical concepts to non-technical stakeholders in a clear and concise manner.
- Provide guidance and support to development teams in data access, data security, and data integration.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
- Proven experience in data architecture and data modeling.
- In-depth knowledge of data warehouse concepts, data integration, and ETL processes.
- Familiarity with data governance principles and data management best practices.
- Hands-on experience with data modeling tools such as ER/Studio, ERwin, or ER/One.
- Strong SQL skills and experience working with relational databases.
- Experience with cloud-based data platforms such as AWS, Azure, or Google Cloud.
- Familiarity with data visualization tools such as Tableau, Power BI, or QlikView.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration skills.
- Ability to work in a fast-paced and dynamic environment.
- Certifications in data architecture or data management will be an added advantage.
Apply now and take the next step in your career!.