Data ArchitectData Modeler

Tekskills Inc.; Kolkata District; On-site; INR 2,500,000 - 4,200,000; Full time

Job summary

Tekskills Inc. is seeking an experienced Data Architect/Analyst to lead data architecture, modeling and analysis in a large-scale enterprise environment in India.

You will design and maintain all data models, define mappings for pipelines, and drive data quality and governance across the data platform. Collaboration with engineers and business stakeholders is essential to deliver reliable, scalable data solutions.

Qualifications

• Minimum 10+ years of experience in Data Architecture, Data Modeling or Data Analysis.
• Proven 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.

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 profiling

Data warehousing

ETL/ELT

PySpark

Spark SQL

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.