Azure Cloud Architect

SN

Required Information

Details

1

Role**

Azure Data Architect

2

Required Technical Skill Set**

Azure Services

• Azure Data Factory

• Azure Synapse Analytics

• Azure Databricks

• Azure Data Lake Storage Gen2

• Azure SQL Database

• Azure Cosmos DB

• Azure Event Hub

• Azure Functions

• Azure Logic Apps

• Azure Monitor

• Azure Purview / Microsoft Purview

Databases

• SQL Server

• Azure SQL

• PostgreSQL

• Oracle

• Snowflake (preferred)

Big Data & Processing

• Spark

• PySpark

• Delta Lake

• Lakehouse Architecture

• Data Warehousing Concepts

Programming

• Python

• SQL

• Scala (preferred)

• PowerShell

DevOps & Automation

• Azure DevOps

• Git

• CI/CD Pipelines

• Terraform / Infrastructure as Code

Visualization

• Power BI

• Tableau (preferred)

3

Desired Experience Range**

10+ Years

Desired Competencies (Technical/Behavioral Competency)

Roles and Responsibilities

Data Architecture & Strategy

• Define enterprise-wide data architecture standards, frameworks, and best practices.

• Design scalable and secure cloud-native data platforms on Microsoft Azure.

• Create conceptual, logical, and physical data models.

• Develop data modernization and cloud migration strategies.

• Establish data governance, data quality, metadata management, and master data management frameworks.

Azure Data Platform Design

• Architect end-to-end data solutions using:

• Azure Data Factory (ADF)

• Azure Synapse Analytics

• Azure Data Lake Storage Gen2

• Azure Databricks

• Azure SQL Database

• Azure Cosmos DB

• Azure Event Hub

• Azure Stream Analytics

• Azure Functions

• Azure Logic Apps

Data Engineering & Integration

• Design batch and real-time data ingestion pipelines.

• Build data lakes, lakehouses, data warehouses, and data marts.

• Implement ELT/ETL frameworks for large-scale data processing.

• Design CDC (Change Data Capture) and streaming architectures.

• Integrate data from on-premises, SaaS, and third-party systems.

Analytics & AI Enablement

• Enable advanced analytics, reporting, and AI/ML workloads.

• Design data models optimized for Power BI and self-service analytics.

• Support AI/ML initiatives using Azure Machine Learning and Azure OpenAI services.

Security & Governance

• Implement data security controls using:

• Azure IAM

• Managed Identity

• Key Vault

• Private Endpoints

• Network Security Groups

• Ensure compliance with GDPR, HIPAA, SOC2, and enterprise security standards.

• Establish monitoring, auditing, and data lineage practices.

Leadership & Stakeholder Management

• Provide technical leadership to data engineering teams.

• Mentor architects, engineers, and developers.

• Conduct architecture reviews and design workshops.

• Collaborate with business stakeholders to translate requirements into technical solutions.

• Prepare architecture documentation and executive presentations.