Data Architect

Cogentix Systems; Pune District; Hybrid; INR 1,200,000 - 1,800,000; Full time

Job summary

Cogentix Systems in Pune, India seeks a Data Architect to design and maintain scalable data solutions, build data models, and drive OLTP, ETL processes, and data governance using Python and Pandas.

You will manage data lakes and Snowflake, implement Data Vault and MDM, ensure data quality and security, and optimize data workflows across enterprise systems. Collaborate with analytics teams to define standards and mentor junior engineers.

Qualifications

• Experience designing enterprise data architectures and data models.
• Strong knowledge of OLTP, ETL/ELT and data governance.
• Proficiency with Snowflake, Data Vault and MDM concepts.

Responsibilities

• Design and implement enterprise data architecture and data models.
• Develop and optimize ETL/ELT pipelines using Python and Pandas.
• Manage data lakes, Snowflake, and OLTP database systems.
• Implement Data Vault modeling and Master Data Management (MDM).
• Ensure data quality, validation, governance, and security.
• Optimize database performance and data processing workflows.

Skills

Data modeling

OLTP

Python

ETL

Pandas

Data Governance

Data Vault

MDM

Data Validation

Data Lakes

Tools

Snowflake

Job description

Job Description

We are looking for a skilled Data Architect with expertise in data modeling, OLTP, Python, ETL, Snowflake, and data governance to design and maintain scalable data solutions.

Key Responsibilities

• Design and implement enterprise data architecture and data models.


• Develop and optimize ETL/ELT pipelines using Python and Pandas.


• Manage data lakes, Snowflake, and OLTP database systems.


• Implement Data Vault modeling and Master Data Management (MDM).


• Ensure data quality, validation, governance, and security.


• Optimize database performance and data processing workflows.

Required Skills

Data Architect, Data Modeling, OLTP, Python, ETL, Data Lakes, Pandas, Snowflake, Master Data Management (MDM), Data Governance, Data Vault, Data Validation.