Senior Data Modeler

Owlsure

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Are you a seasoned Data Modeler with expertise in Data & Analytics Projects Do you stay ahead of the curve with the latest technologies and eager to expand your knowledge Do you thrive in dynamic, fast-paced environments and have a passion for delivering high-quality solutions If so, we have an exciting opportunity for you!

Key Responsibilities

• Design and develop conceptual, logical, and physical data models meeting business requirements and strategic initiatives.
• Collaborate with business stakeholders and data engineering teams to gather data requirements and translate them into robust, scalable data models.
• Analyze and evaluate existing data models and databases to identify opportunities for optimization, standardization, and improvement.
• Define and enforce data modelling standards, naming conventions, and data governance policies to ensure data integrity, consistency, and quality.
• Maintain comprehensive documentation including data models, data dictionaries, and metadata to support effective use and understanding of data assets.
• Implement best practices for data modelling, including normalization, denormalization, indexing, partitioning, and optimization techniques.
• Work closely with Data Engineers to support the implementation and ongoing maintenance of data models within database systems.
• Stay abreast of industry trends, emerging technologies, and best practices in data modelling, database design, and data management.

Must-have Skills

• 6+ years of hands-on experience in data modelling, database design, and data architecture.
• Demonstrated experience in building both normalized and denormalized data models.
• Proficiency in data modelling tools such as Erwin, ER/Studio, or PowerDesigner.
• Strong SQL skills and experience working with relational databases.
• Experience with modern big data tools and platforms.
• Experience with NoSQL databases such as Cosmos DB, MongoDB, or Cassandra, including data modelling for semi-structured data.
• Familiarity with data warehouse design, ETL processes, and data integration strategies.
• Understanding of Health Care Domain.

Nice-to-have Skills

• Understanding of Data Lake and Lakehouse architecture principles.
• Expertise in advanced data modelling techniques for large-scale and high-performance data systems.
• Exposure to cloud platforms like Azure, Databricks, or Fabric.
• Understanding of Long-Term Care / Senior Care Domain.

Your Key Accountabilities

• Collaborate with cross-functional teams to align data models with business and technical requirements.
• Define and enforce best practices for data modelling and database design.
• Provide technical guidance on database optimization and performance tuning.
• Draft technical guidelines, data dictionaries, STTMs, and other documents to standardize data modelling practices.