Data ArchitectData Modeler

Tekskills Inc.; Chennai; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Tekskills Inc. in Chennai, India seeks a senior data architect to analyze complex datasets, design data models, and ensure governance across enterprise systems.

The role focuses on data warehousing, ETL/ELT, and hands-on experience with PySpark and Spark SQL to build scalable pipelines and reliable data flows for business stakeholders. You will collaborate with data engineers and architects, define mappings, and contribute to enterprise data architecture initiatives while upholding quality and

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

Source-to-Target Mapping

ETL/ELT

Spark/PySpark

Spark SQL

Data Warehousing

Analytical Thinking

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.