Senior Data Architect

IPI Technolab; India; À distance; INR 400 000 - 700 000; Plein temps

Résumé du poste

IPI Technolab in India is seeking a Senior Data Architect to define enterprise data architecture, data platforms, integration strategies, governance, and scalable data solutions.

You will lead design of data warehouses, data lakes, lakehouse platforms; develop data models and integration architectures; establish data governance, security, metadata, and mentor data engineers.

Qualifications

• 7 to 10 years of data engineering/architecture experience.
• Strong 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.

Responsabilités

• 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.

Connaissances

SQL

Data modeling

Azure

AWS

GCP

Snowflake

Databricks

BigQuery

Synapse

ETL/ELT

Kafka

Data governance

Security

Description du poste

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.
• Strong 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.