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.