Data Architect (Azure Databricks)

Perficient India; Chennai District; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

Perficient India is seeking an experienced Azure Databricks Architect to lead design and optimization of enterprise-scale data platforms on Microsoft Azure. You will collaborate with data engineers, scientists and solution architects to deliver scalable, secure analytics ecosystems.

Ideal candidates bring 10+ years in data engineering and cloud architecture, with deep Azure Databricks expertise and strong governance, security and CI/CD practices for data workloads.

Qualifications

• 10+ years in data engineering, cloud architecture and big data technologies.
• Azure Databricks architect with enterprise-scale data/analytics platform experience.
• Deep expertise in lakehouse architectures, governance, and cloud-native data solutions.

Responsibilities

• Design end-to-end data platforms on Azure Databricks and Azure services.
• Define scalable lakehouse architectures using Delta Lake and Medallion Architecture.
• Establish enterprise data models, governance and security standards.

Skills

Azure Databricks

Data Engineering

Cloud Architecture

Delta Lake

Medallion Architecture

ETL/ELT

CI/CD

DevOps

Data Governance

Security Standards

Tools

Databricks

Unity Catalog

Event Hubs

Delta Lake

Job description

Experience

10+ Years in Data Engineering, Cloud Architecture, and Big Data Technologies

Job Summary

We are seeking an experienced Azure Databricks Architect to lead the design, implementation, and optimization of enterprise-scale data and analytics platforms on Microsoft Azure. The ideal candidate will possess deep expertise in Azure Databricks, data lake architecture, ETL/ELT frameworks, cloud-native data solutions, and modern analytics platforms. This role will partner with business stakeholders, data engineers, data scientists, and solution architects to deliver scalable, secure, and high-performing data ecosystems.

Key Responsibilities

• Design and implement end-to-end data platforms leveraging Azure Databricks and Azure-native services.
• Define scalable Lakehouse architectures using Delta Lake and Medallion Architecture principles.
• Establish enterprise data models, governance frameworks, and security standards.
• Create architecture blueprints, technical roadmaps, and solution design documents.
• Drive cloud modernization and data migration initiatives.
• Design and optimize large-scale data ingestion, transformation, and orchestration pipelines.
• Develop batch and real-time streaming solutions using Databricks Structured Streaming.
• Event Hubs
• Enable advanced analytics, AI, and machine learning workloads on Databricks.

Platform & Governance

• Implement data governance, lineage, cataloging, and access control strategies.
• Leverage Unity Catalog for centralized data governance.
• Establish CI/CD and DevOps practices for data engineering projects.
• Define monitoring, alerting, performance tuning, and cost optimization strategies.