Senior Data Architect – Enterprise Data Platform

Digile; Bengaluru; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

Digile in Bengaluru seeks an experienced Senior Data Architect to design and govern an enterprise-scale Data Platform leveraging Databricks, PySpark, SQL, Azure, and Microsoft Fabric. You will define scalable data architecture, review solutions, and guide data engineering teams and partners to meet business, performance, security, and data quality requirements.

Responsibilities include designing enterprise Lakehouse architecture, data models and pipelines, Databricks/PySpark solutions for batch

Qualifications

• Extensive experience in enterprise data platforms and data architecture.
• Hands-on with PySpark and SQL in Databricks environments.
• Strong knowledge of Azure data technologies and Fabric.
• Ability to guide engineers and implementation partners.

Responsibilities

• Design and govern Enterprise Data Platform / Lakehouse architecture.
• Define data models, schemas, pipelines, and ETL/ELT solutions.
• Review Databricks and PySpark solutions for batch and streaming data.
• Provide guidance on SQL, data modeling, performance, and transformation.
• Establish data quality, metadata, lineage, security, and governance standards.

Skills

Databricks

PySpark

SQL

Microsoft Fabric

Lakehouse / Data Warehouse

Data Modeling

Tools

Delta Lake

Job description

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.

Must-Have Skills

• Databricks – Strong
• PySpark – Strong
• SQL – Strong
• Microsoft Fabric – Good working experience
• Lakehouse / Data Warehouse Architecture
• Data Modeling & Data Configuration

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.