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Data Warehouse

Data Warehouse

NPAworldwideSyracuse, NY, New York, USA
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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.
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