Data ArchitectData Modeler

Tekskills Inc.; Delhi; On-site; INR 4,000,000 - 6,000,000; Full time

Job summary

Tekskills Inc. in Delhi seeks an experienced Data Architect to analyze complex datasets, design data models, and define source-to-target mappings for robust data pipelines. You will work with data engineers and business stakeholders to ensure data quality and governance across enterprise systems.

The role requires deep expertise in data warehousing, ETL/ELT concepts, and hands-on PySpark/Spark SQL capabilities, with strong analytical problem-solving skills for large, intricate environments.

Qualifications

• 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.
• Strong 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.

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.

Skills

Data Architecture

Data Modeling

Data Analysis

SQL

Data Warehousing

ETL/ELT

PySpark

Spark SQL

Complex environments

Enterprise governance

Job description

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.
• Strong 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.