Business Data Modeler Azure Databricks

We are seeking a Business Data Modeler to join our client in the consulting industry. In this role, you will serve as a key liaison between business stakeholders and technical teams, translating business data requirements into robust data models and solutions on the Azure Databricks platform. You will design, implement, and optimize data models that enable analytics, reporting, and data-driven decision-making.

Responsibilities

Requirements Analysis : Collaborate with stakeholders to gather and document data requirements, business rules, and analytics objectives.

Data Modeling : Design, develop, and maintain logical and physical data models within the Azure Databricks environment, ensuring scalability and performance.

Solution Design : Translate business requirements into technical specifications and data solutions using Databricks features (e.g., Delta Lake, notebooks, MLflow).

Data Quality & Governance : Establish and enforce data quality, consistency, and governance standards, including data lineage and security.

Data Architecture : Define and implement best practices for data integration, storage, and governance strategies.

Collaboration : Partner with data engineers, data scientists, BI developers, and other stakeholders to ensure seamless implementation of data models.

Documentation : Create and maintain comprehensive documentation for data models, data flows, and business rules.

Performance Optimization : Analyze and optimize data models and queries for performance and cost efficiency within Azure Databricks.

Continuous Improvement : Stay current with industry trends, best practices, and emerging technologies in data modeling and cloud analytics

Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Science, or a related field.

5+ years of experience in data modeling, business analysis, or related roles, preferably in a cloud environment.

Hands-on experience with Azure Databricks , Delta Lake , and other Azure data services (Data Lake, Synapse, etc.).

Proficiency in SQL and data modeling tools.

Strong understanding of data warehousing , ETL / ELT processes , and data architecture principles .

Experience with data governance , data quality , and data security best practices.

Excellent communication, documentation, and stakeholder management skills.

Ability to thrive in a fast-paced, collaborative environment.

Preferred Skills

Experience with SAP HANA , including data integration and management.

Experience with Python, Spark, or Scala in Databricks.

Familiarity with data visualization tools (e.g., Power BI, Tableau ).

Knowledge of machine learning workflows and MLflow .

Experience in Agile or Scrum environments.

Location : Fully Remote

Duration : 6 Months (Strong Possibility of Extension)