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.
- Robust 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.
- Strong knowledge of data governance and security.
- Experience designing enterprise-scale data platforms.

📌 Senior Data Architect (Kota)
🏢 IPI Technolab
📍 Kota