Job Description:
We are seeking a skilled Sr. Data Modeler to join our team and contribute to the design and implementation of scalable and efficient data models. The ideal candidate will have experience with Data Vault techniques proficiency in Cloud Azure and good to have working knowledge with Databricks.
Responsibilities:
Data Modeling:
oDesign and develop data models using Data Vault methodologies to ensure robust scalable and flexible data architectures.
oCreate and maintain conceptual logical and physical data models to support business requirements.
oCollaborate with stakeholders to understand data requirements and translate them into effective data models.
oImplement best practices for data modeling including normalization denormalization and data integration.
Data Vault Implementation:
oUtilize Data Vault techniques to build enterprise data lake and lake house and integrate disparate data sources.
oDesign and implement Hubs Links and Satellites to ensure comprehensive data capture and historical tracking.
oOptimize data vault models for performance and scalability.
Cloud Azure:
oDesign and deploy data models on Azure Data Services including Azure SQL Database Azure Data Lake and Azure Synapse Analytics.
oEnsure data security compliance and best practices in Azure environments.
Collaboration and Communication:
oWork closely with data engineers data scientists and business analysts to understand data needs and ensure data model alignment.
oProvide technical guidance and support on data modeling best practices and Data Vault principles.
oDocument data models data flows and integration processes clearly and comprehensively.
Data Modelling tools Azure:
Data analysis and modeling tools (e.g. Power Designer ERWin ER/Studio)
Requirements:
Bachelors degree in Computer Science Information Systems or a related field (Masters degree preferred).
Proven experience in data modeling with a strong focus on Data Vault techniques.
Proficiency in Cloud Azure services including Azure Data Lake Azure SQL Database and Azure Synapse Analytics.
Understand/Knowledge with Databricks and its ecosystem.
Strong understanding of data warehousing concepts Data Lake house ETL processes and data integration techniques.
Excellent analytical and problemsolving skills with attention to detail.
Strong communication and collaboration skills to work effectively with crossfunctional teams.
Relevant certifications in Azure and Databricks are a plus.
Preferred Qualifications:
Experience with additional cloud platforms (e.g. AWS Google Cloud) is a plus.
Knowledge of data governance and data quality principles.
Experience with BI tools such as Power BI Tableau or Looker.