Join our team and be a part of a company that values innovation, teamwork, and growth. As a Data Warehousing Architect, you will have the opportunity to make a significant impact on our data infrastructure and help drive informed business decisions.
Position Title: Data Warehousing Architect
Job Overview: We are seeking a highly skilled Data Warehousing Architect to join our dynamic team. As a Data Warehousing Architect, you will be responsible for designing and implementing efficient and scalable data warehouse solutions. You will work closely with cross-functional teams to understand business requirements, identify data sources, and develop data models to support reporting and analytics needs. The ideal candidate will have a strong background in data management, data integration, and data architecture.
Key Responsibilities:
- Design and develop data warehouse solutions to support business reporting and analytics needs
- Collaborate with business stakeholders to gather and understand data requirements
- Identify and evaluate data sources, both internal and external, to ensure accurate and timely data delivery
- Develop data models and data mapping documentation to support data integration efforts
- Design and implement data extraction, transformation, and loading processes to ensure data quality and consistency
- Develop and maintain data warehouse standards, policies, and procedures
- Monitor and troubleshoot data warehouse performance and resolve any issues that arise
- Continuously evaluate and recommend improvements to data warehouse architecture, processes, and tools
- Stay current with industry trends and best practices in data warehousing and data management
- Lead and mentor junior team members in data warehousing and data architecture principles
Qualifications:
- Bachelor's degree in Computer Science, Information Systems, or related field
- Minimum of 5 years of experience in data warehousing and data architecture
- Proficient in SQL and ETL tools such as Informatica, Talend, or SSIS
- Strong understanding of data modeling techniques and data warehouse design principles
- Experience with data warehouse platforms such as Snowflake, Redshift, or Teradata
- Familiarity with data governance and data quality concepts
- Excellent problem-solving and analytical skills
- Strong communication and collaboration skills
- Proven ability to work in a fast-paced, dynamic environment
- Experience in healthcare, finance, or retail industries is a plus
Apply now and take the next step in your career!.