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Data Architect
2 months ago
We are seeking a highly skilled Data Modeller to join our Technology team at Mane Consulting, a leading provider of Data & Analytics solutions. This is a 12-month contract opportunity that demands a seasoned professional with robust expertise in crafting Conceptual, Logical, and Physical Data Models.
Key Responsibilities- Develop and Design Data Models: Create project data models that meet organizational needs and align with Enterprise information models using conceptual, logical, and physical data models.
- Collaborate with Cross-Functional Teams: Partner with platform architects, data scientists, and analytics professionals to establish a data modeling vision that drives success.
- Expand Data Modeling Vision: Continuously identify ways to enrich data and lead data modeling efforts for a new Azure data and analytics platform.
- Ensure Data Consistency and Performance: Apply and enhance best practices and standards for data modeling to ensure consistency, understanding, ease of use, and performance of data.
- Work with Data Governance and Quality Teams: Incorporate processes into models and lead workstreams with cross-functional agile teams that include data scientists, data engineers, analysts, and product managers.
- Relational and NoSQL Technologies: Experience with Azure SQL, Azure Synapse, Delta Lake, and other data lake technologies.
- Comprehensive Data Modeling: Strong knowledge and experience with logical and physical data modeling for analytics and applications.
- Data Engineering Practices: Experience with data engineering practices, including data discovery, guided analytics, static reporting, and embedded analytics.
- Data Analysis: Types of data analysis, including descriptive, diagnostic, predictive, and prescriptive analysis.
- Hands-on Experience: 3-5 years of hands-on experience with multiple data modeling techniques, including Data vault logical, dimensional, and physical data modeling.
- Data Domain and Modeling Experience: Experience in credit, lending, or financial services, with a strong understanding of Microsoft BI Suite, Power BI, and ETL/ELT technologies and its architecture.
