Senior Data Architect – Enterprise Data Platform

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

Job summary

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

You will define scalable data architectures, review technical solutions, guide data engineering teams and implementation partners, and ensure the platform meets business, performance, security, and data quality requirements.

Qualifications

• Design and govern an enterprise-scale Data Platform using Databricks, PySpark, SQL, Azure, and Microsoft Fabric.
• Guide data engineering teams and implementation partners to ensure performance, security, and data quality.

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.
• Provide strong technical guidance on SQL, data modeling, performance optimization, and data transformation.
• Design Azure/Fabric data solutions with focus on scalability, performance, security, availability, and cost optimization.
• Review and challenge solution designs delivered by data engineering teams and implementation partners.
• Establish and govern data quality, metadata, lineage, cataloguing, security, and data governance standards.

Skills

Databricks

PySpark

SQL

Azure

Microsoft Fabric

Data Architecture

Lakehouse

Data Modeling

SAP Migration

Experience 10+

Azure Data

Job description

Senior Data Architect – Enterprise Data Platform

• Permanent
• 10–15+ Years
• Bengaluru, India

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.
• Provide strong technical guidance on SQL, data modeling, performance optimization, and data transformation.
• Design Azure/Fabric data solutions with focus on scalability, performance, security, availability, and cost optimization.
• Review and challenge solution designs delivered by data engineering teams and implementation partners.
• Establish and govern data quality, metadata, lineage, cataloguing, security, and data governance standards.

Skills / Other Details

• Databricks – Strong
• PySpark – Strong
• SQL – Strong
• Microsoft Azure – Strong
• Microsoft Fabric – Good working experience
• Enterprise Data Architecture
• Lakehouse / Data Warehouse Architecture
• Data Modeling & Data Configuration
• Large-scale SAP Data Migration Integration
• 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.