Data Modeler

escriptions:

1. Lead the design and development of enterprise-level conceptual, logical, and physical data models.
2. Architect and optimize data pipelines and models using Databricks, Delta Lake, and Lakehouse architecture.
3. Collaborate with data engineers, analysts, and business stakeholders to translate complex requirements into robust data solutions.
4. Define and enforce data modeling standards, governance, and best practices.
5. Conduct performance tuning and optimization of large-scale data systems.
6. Oversee metadata management and ensure data lineage and traceability.
7. Provide technical leadership and mentorship to junior data modelers and engineers.
8. Stay current with emerging data technologies and recommend strategic improvements.

Qualification:

1. Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field.
2. 10+ years of experience in data modeling, data architecture, and data engineering.
3. Proven expertise in Databricks, Apache Spark, and SQL.
4. Strong experience with cloud platforms (Azure, AWS, or GCP).
5. Deep understanding of data warehousing, ETL/ELT processes, and big data ecosystems.
6. Familiarity with Delta Lake, Unity Catalog, and Lakehouse principles.
7. Excellent communication, leadership, and stakeholder management skills.

Preferred Skills:

1. Experience with modeling tools like ER/Studio, PowerDesigner, or dbt.
2. Proficiency in Pyspark
3. Knowledge of data governance frameworks and compliance standards.
4. Agile and DevOps experience in data-centric environme