About the Role :
Join a growing technology team as a Data Warehouse Architect in a strategic and high-impact role. This position offers the opportunity to design and lead the development of a scalable data warehouse solution from the ground up. Reporting to the Director of Software Engineering, you will work cross-functionally to consolidate data from multiple systems into a centralized platform that empowers data-driven decision-making and enables self-service analytics.
Key Responsibilities :
- Stakeholder Collaboration : Partner with business leaders to translate strategic objectives into technical data requirements.
- Architectural Design : Develop robust architecture integrating data from relational databases and legacy systems.
- Metadata and Data Labeling : Create standardized data labeling systems and maintain metadata repositories.
- ETL and Integration : Lead the design and implementation of ETL processes for accurate, timely data flow.
- Data Modeling : Design logical and physical data models, including data cubes, for efficient querying and analytics.
- Data Governance : Define and enforce data quality standards and governance policies.
- Enable Business Intelligence : Support BI tools deployment to promote self-service analytics and reporting.
- Cross-Functional Collaboration : Align data strategies with business goals across departments.
- Technical Leadership : Mentor teams and share best practices to strengthen data architecture capabilities.
Data Warehouse Architecture
Experience :
7+ years in data architecture, data modeling, and data warehouse development.Proven experience with enterprise-scale data warehousing.Hands-on experience with ETL processes and tools.Experience with IBM iSeries (DB2), Microsoft SQL Server, and data integration from diverse sources.Technical Skills :
Expertise in logical / physical data modeling.Proficiency in metadata management and standardized data labeling.Strong knowledge of data governance and quality assurance.Experience with BI tools such as Power BI, Tableau, or Cognos.Understanding of time-series and temporal data management.Certifications :
Professional certifications in data management, warehousing, or analytics are a plus.Soft Skills :
Excellent communication and problem-solving abilities.Collaborative and proactive team player.Self-driven and innovative.