Key Responsibilities

- Analyze complex datasets to understand data structures, relationships, and quality issues.
- Design and maintain conceptual, logical, and physical data models.
- Define source-to-target mappings and transformation logic for data pipelines.
- Develop implementation-ready specifications and pseudo-code for engineering teams.
- Perform data reconciliation, variance analysis, and root cause analysis.
- Support testing, validation, and production go-live activities.
- Collaborate with Data Engineers, Architects, and business stakeholders.
- Ensure data quality, governance, and compliance with enterprise standards.
- Contribute to enterprise data architecture and integration initiatives.

Required Skills





- 10+ years of experience in Data Architecture, Data Modeling, or Data Analysis.
- Strong expertise in conceptual, logical, and physical data modeling.
- Advanced SQL skills for profiling, validation, and complex queries.
- Experience with source-to-target mapping and transformation logic.
- Solid understanding of Data Warehousing and ETL/ELT concepts.
- Hands-on experience in PySpark and Spark SQL.
- Excellent analytical, debugging, and problem-solving skills.
- Experience working in complex enterprise data environments.

📌 Data ArchitectData Modeler (Delhi)
🏢 Tekskills
📍 Delhi