04 Aug
|
Tata Consultancy Services
|
Hyderabad
04 Aug
Tata Consultancy Services
Hyderabad
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.
📌 Azure Cloud Architect (Hyderabad)
🏢 Tata Consultancy Services
📍 Hyderabad