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 Dev Ops 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/Py Spark
Data Warehousing
Cloud Platform (Azure/AWS/GCP)
Good to Have
Delta Lake
Azure Data Factory
Data Vault Modeling
Power BI/Tableau
CI/CD Pipelines