Azure Data Architect

TENARAI TECHNOLOGIES PRIVATE LIMITED; Dadri, Pune District, Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

TENARAI TECHNOLOGIES PRIVATE LIMITED is seeking an Azure Databricks Architect with 12 to 14 years of IT experience to lead enterprise cloud data platform strategy and implementations in Azure.

You will design lakehouse architectures, oversee data integration pipelines, and drive governance while enabling ML/Generative AI workflows within Databricks.

Qualifications

• Total IT experience: 12 to 14 years in IT and Data Engineering/Architecture.
• Architect Experience: Minimum 45 years in a lead Cloud Data Architect role, with Azure Databricks focus.
• Core tech stack includes Databricks, Azure cloud services, Python/SQL/Scala, and DevOps IaC.
• Education: Bachelor’s or Master’s degree in CS/IT/Software Eng.
• Certifications: Databricks Certified Data Engineer Professional or Databricks Certified Solution Architect, AZ-305, DP-203.

Responsibilities

• Define modern Lakehouse architectures on Azure Databricks.
• Architect scalable data ingestion, processing, and orchestration pipelines with ADF, ADLS Gen2, and Synapse.
• Lead legacy modernization from on-prem/cloud to native Databricks platforms.
• Enable GenAI workloads, MLflow, and Vector Search integrations for analytics.

Skills

Lakehouse architecture

MLOps

Generative AI

Python (PySpark)

SQL

Scala

Education

Bachelor’s or Master’s in CS/IT/Software Eng

Tools

Databricks Lakehouse Platform

Unity Catalog

Delta Lake

Structured Streaming

Databricks SQL

MLflow

Auto Loader

Azure Data Factory

Azure Synapse Analytics

Azure Event Hubs

ADLS Gen2

Terraform

Azure DevOps

Job description

We are seeking a highly experienced and visionary Azure Databricks Architect with 12 to 14 years of total IT experience to lead the strategy, design, and implementation of enterprise-grade cloud data platforms. In this role, you will be responsible for defining modern Lakehouse architectures using Azure Databricks, architecting scalable data integration pipelines, driving data governance, and guiding organizations through complex data modernization and cloud transformation journeys.

Key Responsibilities

Architectural Design & Strategy

• Lakehouse Blueprinting: Design and deploy enterprise-scale Delta Lakehouse solutions leveraging the Medallion Architecture (Bronze, Silver, Gold layer design pattern) on Azure Databricks.
• Cloud Data Integration: Define end-to-end data ingestion, processing, and orchestration frameworks integrating Azure Databricks with Azure Data Factory (ADF), Azure Event Hubs/Kafka, Azure Synapse Analytics, and Azure Data Lake Storage Gen2 (ADLS Gen2).
• Legacy Modernization: Lead technical strategy for migrating legacy on-premises or cloud environments (e.g., Hadoop, Teradata, Netezza, SQL Server) to native Azure Databricks platform architectures.
• GenAI & Analytics Enablement: Architect data environments that support Machine Learning workflows, MLOps, MLflow, and Generative AI applications integrated with Databricks Vector Search and Feature Store.

Governance, Security & Compliance

Required Qualifications & Experience

• Total Experience: 12 to 14 years in IT and Data Engineering/Architecture.
• Architect Experience: Minimum 45 years in a lead Cloud Data Architect role, with dedicated, hands-on focus on Azure Databricks and Delta Lake ecosystems.
• Core Technical Stack:
  • Databricks Ecosystem: Databricks Lakehouse Platform, Unity Catalog, Delta Lake, Structured Streaming, Databricks SQL, MLflow, Auto Loader.
  • Azure Cloud Services: ADLS Gen2, Azure Data Factory (ADF), Azure Synapse Analytics, Azure Event Hubs, Azure Key Vault, Azure Functions, Azure Cosmos DB.
  • Languages: Python (PySpark), SQL, Scala.
  • DevOps & IaC: Terraform, Azure DevOps, Git, ARM templates, Databricks Asset Bundles (DABs).
  • Data Modeling: Dimensional Modeling (Star/Snowflake), Data Vault 2.0, Relational vs. NoSQL schema design patterns.
• Education: Bachelor’s or Master’s degree in Computer Science, Information Technology, Software Engineering, or a related quantitative field.

Preferred Certifications

• Databricks Certified Data Engineer Professional or Databricks Certified Solution Architect
• Microsoft Certified: Azure Solutions Architect Expert (AZ-305)
• Microsoft Certified: Azure Data Engineer Associate (DP-203)