Job Summary

The Senior Data Architect will define enterprise data architecture, data platforms, integration strategies, governance, and scalable data solutions.

Roles & Responsibilities
Define enterprise and solution-level data architectures.
Design scalable data warehouses, data lakes, and lakehouse platforms.
Develop data models and data integration architectures.
Define data governance and data quality standards.
Design batch and real-time data pipelines.
Work with data engineering and analytics teams.
Evaluate databases, data platforms, and data technologies.
Optimize data storage and processing performance.
Define security and access-control strategies for data.
Support cloud data migration and modernization.
Establish metadata, lineage,



and data management practices.
Mentor data engineers and technical teams.

Preferred Candidate Requirements
7 to 10 years of data engineering/architecture experience.
Solid SQL and data modeling expertise.
Experience with Azure, AWS, or GCP data services.
Knowledge of Snowflake, Databricks, BigQuery, Synapse, or equivalent.
Experience with ETL/ELT technologies.
Experience with Kafka or real-time data platforms preferred.
Solid knowledge of data governance and security.
Experience designing enterprise-scale data platforms.

📌 Senior Data Architect Kota
🏢 IPI Technolab
📍 Kota