Azure data architect

Digile; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Digile, based in Bengaluru, is seeking an experienced Senior Data Architect to design and govern an enterprise-scale Data Platform using Databricks, PySpark, SQL, Azure, and Microsoft Fabric.

The role focuses on scalable data architecture, technical reviews, guiding data engineering teams and implementation partners, and ensuring the platform meets business, performance, security, and data quality requirements.

Qualifications

• 10–15+ years of experience in Data Engineering, Data Architecture, or Enterprise Data Platform roles.
• Strong experience designing Databricks-based Lakehouse/Data Platform solutions.
• Proven hands-on/architecture experience with PySpark and SQL.
• Strong experience with Azure data technologies.
• Experience with Microsoft Fabric.

Responsibilities

• Design and govern Enterprise Data Platform / Lakehouse architecture across Databricks, Azure, and Microsoft Fabric.
• Define data models, schemas, data pipelines, integration patterns, and ETL/ELT solutions.
• Design and review Databricks and PySpark solutions for batch and streaming data processing, including Delta Lake.

Skills

Databricks

PySpark

SQL

Azure data technologies

Microsoft Fabric

Data Architecture

Tools

Delta Lake

Job description

Location-Bengaluru Work from Office five days a week.

Experience & Qualifications

• 10–15+ years of experience in Data Engineering, Data Architecture, or Enterprise Data Platform roles.


• Strong experience designing Databricks-based Lakehouse/Data Platform solutions.


• Proven hands-on/architecture experience with PySpark and SQL.


• Strong experience with Azure data technologies.


• Experience with Microsoft Fabric.

Role Overview

We are looking for an experienced Senior Data Architect to design and govern an enterprise-scale Data Platform using Databricks, PySpark, SQL, Azure, and Microsoft Fabric.

The role will focus on defining scalable data architecture, reviewing technical solutions, guiding data engineering teams and implementation partners, and ensuring the platform meets business, performance, security, and data quality requirements.

Key Responsibilities

• Design and govern Enterprise Data Platform / Lakehouse architecture across Databricks, Azure, and Microsoft Fabric.


• Define data models, schemas, data pipelines, integration patterns, and ETL/ELT solutions.


• Design and review Databricks and PySpark solutions for batch and streaming data processing, including Delta Lake.