Data ArchitectData Modeler

Tekskills Inc.; Bengaluru; On-site; INR 300,000 - 540,000; Full time

Job summary

Tekskills Inc. in Bengaluru is seeking a Senior Data Architect to drive data modeling and architecture across enterprise data platforms. You will shape conceptual, logical, and physical models and define robust data governance practices.

Collaborate with Data Engineers, Architects, and business stakeholders to ensure data quality, integrity, and compliant analytics. Expertise in PySpark, Spark SQL, SQL, and ETL/ELT is required.

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 and complex queries.
• Experience with source-to-target mapping and transformation logic.

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

ETL/ELT concepts

Data governance

Tools

PySpark

Spark SQL

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.