Databricks Data Modeler

Job Summary We are looking for an experienced Databricks Data Modeler to design, develop, and optimize enterprise-scale data models and data platforms on Databricks. The ideal candidate should have strong expertise in data modeling, data warehousing, ETL/ELT processes, and cloud-based data engineering solutions. Key Responsibilities Design and implement conceptual, logical, and physical data models for enterprise data platforms.

Develop scalable data solutions using Databricks , Apache Spark , and cloud technologies. Create and maintain dimensional models (Star Schema, Snowflake Schema) for analytical and reporting requirements. Collaborate with business stakeholders, data architects, and engineering teams to gather and analyze data requirements.

Build and optimize ETL/ELT pipelines for large-scale data processing. Ensure data quality, consistency, governance, and security standards are maintained. Perform data profiling, data lineage analysis, and impact assessments.

Optimize Databricks workloads for performance and cost efficiency. Support data migration and modernization initiatives from legacy systems to cloud platforms. Required Skills Strong hands-on experience with Databricks .

Expertise in Data Modeling (Conceptual, Logical, Physical). Experience with Dimensional Modeling , Data Warehousing concepts, Star/Snowflake schemas. Strong SQL development and query optimization skills.

Experience with Apache Spark , PySpark, and Databricks notebooks. Knowledge of ETL/ELT frameworks and data integration tools. Experience with cloud platforms such as Azure , AWS , or GCP .

Strong understanding of Data Governance, Data Quality, and Metadata Management. Experience working with large-scale structured and unstructured datasets. Preferred Skills Experience with Azure Data Factory (ADF) , Delta Lake , and Lakehouse architecture.

Knowledge of Data Vault Modeling. Familiarity with BI tools such as Power BI, Tableau, or Looker. Experience with CI/CD and DevOps practices in data engineering.

Qualifications Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, or related field. 5+ years of experience in Data Engineering/Data Modeling. Strong communication and stakeholder management skills. Mandatory Skills Databricks Data Modeling SQL Spark/PySpark Data Warehousing Cloud Platform (Azure/AWS/GCP) Good to Have Delta Lake Azure Data Factory Data Vault Modeling Power BI/Tableau CI/CD Pipelines