Data Architect to design and maintain robust data models, define transformation logic, and ensure high-quality data integration for enterprise platforms.
About the role
Key Responsibilities
Analyze complex datasets to understand structures, relationships, and data quality issues
Define source-to-target mappings and detailed transformation logic for data pipelines
Develop and maintain conceptual, logical, and physical data models aligned with business requirements
Translate business requirements into clear pseudo-logic and implementation-ready specifications
Perform data reconciliation and variance analysis between legacy and new platforms
Identify and resolve data issues through structured root cause analysis and debugging
Requirements
Strong experience in data modeling (conceptual, logical, physical) and data analysis
Advanced SQL skills for profiling, validation, and complex queries
Experience defining transformation logic and pseudo-code for data pipelines
Good understanding of data warehousing and ETL/ELT processes
Knowledge of PySpark and SparkSQL for scalable data processing
Skills
data modelingsqletl eltpysparksparksqldata warehousing